Decision-Making based on Big Data Analytics for People Management in Healthcare Organizations
AbstractBig data analytics enables large-scale data sets integration, supporting people management decisions, and cost-effectiveness evaluation of healthcare organizations. The purpose of this article is to address the decision-making process based on big data analytics in Healthcare organizations, to identify main big data analytics able to support healthcare leaders ’ decisions and to present some strategies to enhance efficiency along the healthcare value chain. Our research was based on a systematic review. During the literature review, we will be presenting as well the different applications of big data in the h...
Source: Journal of Medical Systems - July 22, 2019 Category: Information Technology Source Type: research

Region Extraction and Classification of Skin Cancer: A Heterogeneous framework of Deep CNN Features Fusion and Reduction
AbstractCancer is one of the leading causes of deaths in the last two decades. It is either diagnosed malignant or benign – depending upon the severity of the infection and the current stage. The conventional methods require a detailed physical inspection by an expert dermatologist, which is time-consuming and imprecise. Therefore, several computer vision methods are introduced lately, which are cost-effective and so mewhat accurate. In this work, we propose a new automated approach for skin lesion detection and recognition using a deep convolutional neural network (DCNN). The proposed cascaded design incorporates th...
Source: Journal of Medical Systems - July 20, 2019 Category: Information Technology Source Type: research

Predicting Outpatient Appointment Demand Using Machine Learning and Traditional Methods
AbstractTraditional methods have long been used for clinical demand forecasting. Machine learning methods represent the next evolution in forecasting, but model choice and optimization remain challenging for achieving optimal results. To determine the best method to predict demand for outpatient appointments comparing machine learning and traditional methods, this retrospective study analyzed “appointment requests” at a major outpatient department in a destination medical center. Two separate locations (A and B) were assessed with 20 traditional, hybrid (traditional + machine learning) and machine learning meth...
Source: Journal of Medical Systems - July 19, 2019 Category: Information Technology Source Type: research

A Systematic Review and Implementation of IoT-Based Pervasive Sensor-Enabled Tracking System for Dementia Patients
AbstractIn today ’s world, 46.8 million people suffer from brain related diseases. Dementia is most prevalent of all. In general scenario, a dementia patient lacks proper guidance in searching out the way to return back at his/her home. Thus, increasing the risk of getting damaged at individual-health level. There fore, it is important to track their movement in more sophisticated manner as possible. With emergence of wearables, GPS sensors and Internet of Things (IoT), such devices have become available in public domain. Smartphone apps support caregiver to locate the dementia patients in real-time. RF, GSM, 3G, Wi-...
Source: Journal of Medical Systems - July 17, 2019 Category: Information Technology Source Type: research

Cervical Cancer Identification with Synthetic Minority Oversampling Technique and PCA Analysis using Random Forest Classifier
AbstractCervical cancer is the fourth most communal malignant disease amongst women worldwide. In maximum circumstances, cervical cancer indications are not perceptible at its initial stages. There are a proportion of features that intensify the threat of emerging cervical cancer like human papilloma virus, sexual transmitted diseases, and smoking. Ascertaining those features and constructing a classification model to categorize, if the cases are cervical cancer or not is an existing challenging research. This learning intentions at using cervical cancer risk features to build classification model using Random Forest (RF) ...
Source: Journal of Medical Systems - July 17, 2019 Category: Information Technology Source Type: research

An Automatic Approach Using ELM Classifier for HFpEF Identification Based on Heart Sound Characteristics
AbstractHeart failure with preserved ejection fraction (HFpEF) is a complex and heterogeneous clinical syndrome. For the purpose of assisting HFpEF diagnosis, a non-invasive method using extreme learning machine and heart sound (HS) characteristics was provided in this paper. Firstly, the improved wavelet denoising method was used for signal preprocessing. Then, the logistic regression based hidden semi-Markov model algorithm was utilized to locate the boundary of the first HS and the second HS, therefore, the ratio of diastolic to systolic duration can be calculated. Eleven features were extracted based on multifractal de...
Source: Journal of Medical Systems - July 15, 2019 Category: Information Technology Source Type: research

Lightweight Splint Design for Individualized Treatment of Distal Radius Fracture
AbstractA systematic design approach is proposed for medical splints for individualized treatment of the distal radius fracture. An initial split structural model is first constructed by 3D scanning of an injured limb. Based on the biomechanical theory and clinical experiences, the topology optimization method is applied to design the splint structure. The optimized lightweight splint is realized by additive manufacturing using polylactic acid. Compared to the traditional designs for the distal radius fracture, the optimized design by the proposed approach exhibits a weight reduction of more than 40%. Besides, the mechanic...
Source: Journal of Medical Systems - July 13, 2019 Category: Information Technology Source Type: research

The Application of Deep Learning in the Risk Grading of Skin Tumors for Patients Using Clinical Images
AbstractAccording to diagnostic criteria, skin tumors can be divided into three categories: benign, low degree and high degree malignancy. For high degree malignant skin tumors, if not detected in time, they can do serious harm to patients ’ health. However, in clinical practice, identifying malignant degree requires biopsy and pathological examination which is time costly. Furthermore, in many areas, due to the severe shortage of dermatologists, it’s inconvenient for patients to go to hospital for examination. Therefore, an easy to access screening method of malignant skin tumors is needed urgently. Firstly, w...
Source: Journal of Medical Systems - July 13, 2019 Category: Information Technology Source Type: research

Brain Tumor Detection and Segmentation by Intensity Adjustment
AbstractIn recent years, Brain tumor detection and segmentation has created an interest on research areas. The process of identifying and segmenting brain tumor is a very tedious and time consuming task, since human physique has anatomical structure naturally. Magnetic Resonance Image (MRI) scan analysis is a powerful tool that makes effective detection of the abnormal tissues from the brain. Among different techniques, Magnetic Resonance Image (MRI) is a liable one which contains several modalities in scanning the images captured from interior structure of human brain. A novel hybrid energy-efficient method is proposed fo...
Source: Journal of Medical Systems - July 12, 2019 Category: Information Technology Source Type: research

Effect of an Online Appointment Scheduling System on Evaluation Metrics of Outpatient Scheduling System: a before-after MulticenterStudy
In this study, the effect of an online appointment scheduling system was investigated by comparing the evaluation metrics of appointment scheduling before and after the intervention. This before-after pilot study was conducted on ten outpatient clinics with different specializations. Five clinics were selected as the intervention group and five clinics as the control group. A checklist was designed to evaluate appointment scheduling metrics. These checklists were completed from April to July 2017 in the pre-implementation phase and from September to December 2017 in the post-implementation phase. The evaluation metrics wer...
Source: Journal of Medical Systems - July 12, 2019 Category: Information Technology Source Type: research

Gaussian Noise Removal in an Image using Fast Guided Filter and its Method Noise Thresholding in Medical Healthcare Application
AbstractA new denoising algorithm using Fast Guided Filter and Discrete Wavelet Transform is proposed to remove Gaussian noise in an image. The Fast Guided Filter removes some part of the details in addition to noise. These details are estimated accurately and combined with the filtered image to get back the final denoised image. The proposed algorithm is compared with other existing filtering techniques such as Wiener filter, Non Local means filter and bilateral filter and it is observed that the performance of this algorithm is superior compared to the above mentioned Gaussian noise removal techniques. The resultant imag...
Source: Journal of Medical Systems - July 12, 2019 Category: Information Technology Source Type: research

Age Prediction Based on Brain MRI Image: A Survey
AbstractHuman age prediction is an interesting and applicable issue in different fields. It can be based on various criteria such as face image, DNA methylation, chest plate radiographs, knee radiographs, dental images and etc. Most of the age prediction researches have mainly been based on images. Since the image processing and Machine Learning (ML) techniques have grown up, the investigations were led to use them in age prediction problem. The implementations would be used in different fields, especially in medical applications. Brain Age Estimation (BAE) has attracted more attention in recent years and it would be so he...
Source: Journal of Medical Systems - July 11, 2019 Category: Information Technology Source Type: research

Medical Diagnosis of Cerebral Palsy Rehabilitation Using Eye Images in Machine Learning Techniques
AbstractCerebral Palsy (CP) is a non progressive neurological disorders commonly associated with a spectrum of developmental disabilities such as strabismus (misalignment of eye). The Eye image are captured through camera, this make the quick diagnosis and examination the periodical assessment for CP kids. By capturing the Eye Movement of 40 children with CP (aged 3 –11 years) with relatively mild motor-impairment and also we have analyzed the performance of CP children periodically. Nowadays, Bio-Medical image processing and Machine learning Classification algorithm used for detection and diagnosis the certain ...
Source: Journal of Medical Systems - July 9, 2019 Category: Information Technology Source Type: research

Exploratory Study of Psychosocial Therapies with Text Messages to Mobile Phones in Groups of Vulnerable Immigrant Women
We present an exploratory study of a mobile communication system which intends to improve the mental, physical and social health of a group of vulnerable immigrant women in Spain (n = 71), distinguishing between an intervention group and a non-equivalent control group. We sent automatic text messages (SMS) to the mobile phones of an intervention group formed by immigrant women who used the social services (n = 44). During a 26-day intervention period, the women received 4 daily automatic text messages on their phones, at a predetermined time. We measured mood and depression symptoms at the begin...
Source: Journal of Medical Systems - July 6, 2019 Category: Information Technology Source Type: research

Intervertebral Disc Segmentation and Diagnostic Application Based on Wavelet Denoising and AAM Model in Human Spine Image
AbstractTo solve the problem of location and segmentation of intervertebral discs in spinal MRI images, a method of intervertebral disc segmentation and degeneration classification diagnosis based on wavelet image denoising and independent component analysis-active appearance model (ICA-AAM) was proposed. Firstly, the spinal MRI image is decomposed by wavelet transform, and the noise is filtered by soft threshold method. Then, aiming at the inadequacy of PCA method in AAM in describing data details, ICA is used instead of PCA to model shape and texture models, and an improved AAM segmentation model is formed. Finally, the ...
Source: Journal of Medical Systems - July 6, 2019 Category: Information Technology Source Type: research

A Rainbow-Based Authentical Scheme for Securing Smart Connected Health Systems
We present techniques to exploit the countermeasures to protect Rainbow against DPA attacks. We propose a variant of Rainbow with resistance to DPA attacks. First, we take a random vector to randomize the power consumption of private keys during computing the first affine transformation; Second, random variables are adopted during computing central map transformation; Third, we take two random vectors during computing the second affine transformation to randomize the power consumption of private keys. We analyze the efficiency and implement the scheme on hardware. Compared with the related implementations, our scheme is ef...
Source: Journal of Medical Systems - July 6, 2019 Category: Information Technology Source Type: research

Implementation of Software Agents and Advanced AoA for Disease Data Analysis
AbstractTo eliminate the possibilities of getting various contradicting solutions to a single problem during diagnosis, a single regular Agent oriented Approach (AoA) is replaced by Intelligent Artificial Agents that act like human and even dynamically decide in any situations known as Intelligent Searching Approach (ISA) is proposed. These agents are used to analyse the medical forums and results or findings are derived accurately than any manual approach. Multiple Agents have been used to analyse the blogs by dividing the work areas and communicating themselves using Agent Communication Language (ACL) and FIPA. The local...
Source: Journal of Medical Systems - July 6, 2019 Category: Information Technology Source Type: research

Classification of Carotid Artery Intima Media Thickness Ultrasound Images with Deep Learning
AbstractCerebrovascular accident due to carotid artery disease is the most common cause of death in developed countries following heart disease and cancer. For a reliable early detection of atherosclerosis, Intima Media Thickness (IMT) measurement and classification are important. A new method for decision support purpose for the classification of IMT was proposed in this study. Ultrasound images are used for IMT measurements. Images are classified and evaluated by experts. This is a manual procedure, so it causes subjectivity and variability in the IMT classification. Instead, this article proposes a methodology based on ...
Source: Journal of Medical Systems - July 5, 2019 Category: Information Technology Source Type: research

Accelerated Dynamic MRI Using Kernel-Based Low Rank Constraint
We present a novel reconstruction method for dynamic MR images from highly under-sampled k-space measurements. The reconstruction problem is posed as spectrally regularized matrix recovery problem, where kernel-based low rank constraint is employed to effectively utilize the non-linear correlations between the images in the dynamic sequence. Unlike other kernel-based methods, we use a single-step regularized reconstruction approach to simultaneously learn the kernel basis functions and the weights. The objective function is optimized using variable splitting and alternating direction method of multipliers. The framework ca...
Source: Journal of Medical Systems - July 5, 2019 Category: Information Technology Source Type: research

Development of Big Data Predictive Analytics Model for Disease Prediction using Machine learning Technique
AbstractNow days, health prediction in modern life becomesvery much essential. Big data analysis plays a crucial role to predict future status of healthand offerspreeminenthealth outcome to people. Heart disease is a prevalent disease cause ’s death around the world. A lotof research is going onpredictive analytics using machine learning techniques to reveal better decision making. Big data analysis fosters great opportunities to predict future health status from health parameters and provide best outcomes. WeusedBig Data Predictive Analytics Model for Disease Prediction using Naive Bayes Technique (BPA-NB). It provi...
Source: Journal of Medical Systems - July 5, 2019 Category: Information Technology Source Type: research

NBN Gene Analysis and it ’s Impact on Breast Cancer
AbstractSingle Nucleotide Polymorphism (SNP) researches have become essential in finding out the congenital relationship of structural deviations with quantitative traits, heritable diseases and physical responsiveness to different medicines. NBN is a protein coding gene (Breast Cancer); Nibrin is used to fix and rebuild the body from damages caused because of strand breaks (both singular and double) associated with protein nibrin. NBN gene was retrieved from dbSNP/NCBI database and investigated using computational SNP analysis tools. The encrypted region in SNPs (exonal SNPs) were analyzed using software tools, SIFT, Prov...
Source: Journal of Medical Systems - July 5, 2019 Category: Information Technology Source Type: research

Detection of Skin Cancer Using SVM, Random Forest and kNN Classifiers
AbstractMost common and deadly type of cancer is Skin cancer. The destructive kind of cancers in skin is Melanoma as well as it can be identified at the initial stage and can be cured completely. For the diagnosis of melanoma, the identification of the melanocytes in the area of epidermis is an essential stage. In this paper the watershed segmentation method is implemented for segmentation. The extracted segments are subjected to feature extraction. The features extracted are shape, ABCD rule and GLCM. The extracted features are then used for classification. The classifiers are kNN (k Nearest Neighbor), Random Forest and S...
Source: Journal of Medical Systems - July 4, 2019 Category: Information Technology Source Type: research

Phenotype Algorithm based Big Data Analytics for Cancer Diagnose
AbstractNowadays, Cancer diagnosis is one of the major challenging characteristics for treating cancer. The reality of cancer patients rely on the diagnosis of cancer at the early stages (either in stage 1 or stage 2). If the cancer is diagnosed in stage 3 or later stages means the changes of survival of the patient will become more critical. Normally, single patient records will generate a huge amount of data if the data could be manage and analyze means to solve many problems for identifying the patterns it will leads to diagnose the cancer. Recent work several machine learning algorithms are introduced for the classific...
Source: Journal of Medical Systems - July 4, 2019 Category: Information Technology Source Type: research

Fast and Secure Medical Image Encryption Based on Non Linear 4D Logistic Map and DNA Sequences (NL4DLM_DNA)
AbstractThis paper proposes an innovative image cryptosystem algorithm using the properties of the block encryption, 4D logistic map and DNA systems. Multiple key sequences are generated and pixel substitution is performed by using nonlinear 4D logistic map, then encryption is performed by using DNA rules to ensure that the different blocks are encrypted securely. The results of the experiment indicate that the proposed Non Linear 4D Logistic Map and DNA (NL4DLM_DNA) sequence based algorithm gives better performance, which is analyzed on the basis of security, quality, attack resilience, diffusion and running time as compa...
Source: Journal of Medical Systems - July 4, 2019 Category: Information Technology Source Type: research

Efficient and Secure Privacy Analysis for Medical Big Data Using TDES and MKSVM with Access Control in Cloud
AbstractBig Data and cloud computing are two essential issues in the recent years, empowers computing resources to be given as Information Technology services with high efficiency and effectiveness. So as to protect the security of data holders, data are regularly stored in the cloud in an encrypted form. In any case, encrypted data introduce new challenges for cloud data deduplication, which becomes crucial for big data storage and processing in the cloud along with access control. In this paper dissected the medical big data security utilizing encryption with access control process. Big database reduce process Map-Reduce...
Source: Journal of Medical Systems - July 4, 2019 Category: Information Technology Source Type: research

Applicability Evaluation of Web Mining in Healthcare E-Commerce towards Business Success and a derived Cournot Model
AbstractInternet has become integral part of day-to-day business to almost everybody, this result in diversified interests of customers. So as to catering to this intrinsic need, any E-Commerce firm to survive must be of cutting edge and competitive edge. The providers should not only to stay abreast with technologies where the life cycle of a technology is at its bare minimum and further dwindling They should also entertain the customers through inventively fine tuning the delicate parameters of website. This involves evaluating the usage pattern and trails of the customer left as a log, deriving pattern from click stream...
Source: Journal of Medical Systems - July 4, 2019 Category: Information Technology Source Type: research

Basic Research in Diabetic Nephropathy Health Care: A study of the Renoprotective Mechanism of Metformin
In this study, the application of DMBG partially alleviates the pathological changes in the kidneys of db/db mice, increases the level of the klotho protein in the blood, urine and kidney tissues of the mice, and reduces the levels of the mTOR and p-mTOR proteins. The effects of high glucose and DMBG on klotho and the mTOR pathway in MDCK cells were analyzed at the cellular level. High glucose stimulation activates mTOR pathway and decreases the activity of MDCK cells. DMBG decreases the level of the mTOR protein and reverses the effect of hyperglycaemic stimulation on the activity of MDCK cells. After inhibiting the expre...
Source: Journal of Medical Systems - July 4, 2019 Category: Information Technology Source Type: research

Breast Cancer Diagnosis Using Feature Ensemble Learning Based on Stacked Sparse Autoencoders and Softmax Regression
AbstractNowadays, the most frequent cancer in women is breast cancer (malignant tumor). If breast cancer is detected at the beginning stage, it can often be cured. Many researchers proposed numerous methods for early prediction of this Cancer. In this paper, we proposed feature ensemble learning based on Sparse Autoencoders and Softmax Regression for classification of Breast Cancer into benign (non-cancerous) and malignant (cancerous). We used Breast Cancer Wisconsin (Diagnostic) medical data sets from the UCI machine learning repository. The proposed method is assessed using various performance indices like true classific...
Source: Journal of Medical Systems - July 3, 2019 Category: Information Technology Source Type: research

Distance-Based Method used to Localize the Eyeball Effectively for Cerebral Palsy Rehabilitation
AbstractIris plays a vital role in human life for object identification. Many models and techniques were proposed and suggested for detecting the Iris, but the accuracy was not achieved up to the level and its frequently used for biometric application. The Proposed Work divided into two steps, at first, we detect the entire eye region outer layer by using mathematics first order derivatives by applying combinations of canny edge detection and circular hough transform. The next, we detect the inner portion of eye region that is Iris region is detected by combination of sobel edge detector and circular hough transform, As th...
Source: Journal of Medical Systems - July 2, 2019 Category: Information Technology Source Type: research

Spectral Analysis of Codons in the DNA Sequence of Fragile X Syndrome
AbstractThere are frequent studies undergoing related to the Fragile X syndrome caused due to the triplet CGG replicates on the X chromosome of Fragile X Mental Retardation 1 (FMR1) gene. Mutations of this chromosome can lead to Fragile X syndrome, rational disability, and other cognitive discrepancies. A novel approach based on Rajan Transform is proposed to analyze the spectral density of codons. The traditional transform like Fourier transform provides imaginary values whereas the Rajan Transform exhibits only the real values. The mutations there in the DNA are successfully distinguished by using the Rajan Transform whi...
Source: Journal of Medical Systems - July 2, 2019 Category: Information Technology Source Type: research

An Improved Authentication and Security on Efficient Generalized Group Key Agreement Using Hyper Elliptic Curve Based Public Key Cryptography for IoT Health Care System
AbstractDue to tremendous development in the network technologies forms an Internet of Things (IoT) based Health Care System (HCS) is an essential application in day-today life. In HCS, constitute a group communication among doctors, patient, caretaker, ambulance, and hospital, which intern ’s devices transfer personal information from one to many group members. Providing security on the personal health information is the most critical issue, because malicious access on this information may leads to life threads. Concurrently, traditional cryptographic framework has unsuccessful to p rotection to the HCS over lightwe...
Source: Journal of Medical Systems - July 2, 2019 Category: Information Technology Source Type: research

Data Access Control and Secured Data Sharing Approach for Health Care Data in Cloud Environment
AbstractOne of the vital hitches in today ’s world of research is ensuring the security of the Cloud. This security can be ensured by inventing new techniques that may possibly help in safeguarding and assuring the optimal status of information in the cloud. Contents that are stored in the Cloud are majorly affected by the attempts made b y illegitimate sources that are trying to access it. The security level of the contents that are stored in the cloud can be guaranteed by focusing on a task that helps in both securing and verifying the data. In order to manage the security level, (SE-KAC) which is also known as Sca...
Source: Journal of Medical Systems - July 1, 2019 Category: Information Technology Source Type: research

Detection of Moving Object in Dynamic Visual Sequences Based on Partial Least Squares Classifier
AbstractDetection of moving object from a visual sequence plays a vital role for the tracking of object. The main objective of this proposed work is to detect and classify the various video sequences with the help of different classification algorithms. The input video sequences from the publicly available datasets are collected and the individual frames are extracted. These frames are pre-processed and then applied to the novel background subtraction process. Important features based on the Local Binary Pattern (LBP) and grey level co-efficient are extracted. Finally these features are classified by three different classi...
Source: Journal of Medical Systems - July 1, 2019 Category: Information Technology Source Type: research

A Dynamic MooM Dataset Processing Under TelMED Protocol Design for QoS Improvisation of Telemedicine Environment
AbstractTelemedicine research improves the connectivity of remote patients and doctors. Researchers are focused on data optimization and processing over a predefined channel of communication under a depictive low QoS. In this paper a consolidated representation of telemedicine infrastructure of modern topological arrangement is represented and validated. The infrastructure is aided with Multiple Objective Optimized Medical dataset (MooM) processing and a channel optimizing TelMED protocol designed exclusively for remote medicine dataset transmission and processing. The proposed infrastructure provides an application orient...
Source: Journal of Medical Systems - July 1, 2019 Category: Information Technology Source Type: research

Video surveillance system against anti-terrorism by Using Adaptive Linear Activity Classification (ALAC) Technique
AbstractAutomated human activity analysis has been, and remains, a challenging problem. Security and surveillance are essential issues in today ’s world. Any behavior which is uncommon in occurrence and deviates from customarily understood action could be termed as suspicious. For different application regions, while identifying human exercises, fundamentally three angles are taking in worry for human movement recognition system: Segmenta tion, feature extraction, and activity classification. This model aims at automatic detection of abnormal behavior in surveillance videos. In this proposed work adaptive linear acti...
Source: Journal of Medical Systems - June 29, 2019 Category: Information Technology Source Type: research

Respiratory Sound Based Classification of Chronic Obstructive Pulmonary Disease: a Risk Stratification Approach in Machine Learning Paradigm
This article investigates the classification of normal and COPD subjects on the basis of respiratory sound analysis using machine learning techniques. Thirty COPD and 25 healthy subject data are recorded. Total of 39 lung sound features and 3 spirometry features are extracted and evaluated. Various parametric and nonparametric tests are conducted to evaluate the relevance of extracted features. Classifiers such as support vector machine (SVM), k-nearest neighbor (KNN), logistic regression (LR), decision tree and discriminant analysis (DA) are used to categorize normal and COPD breath sounds. Classification based on spirome...
Source: Journal of Medical Systems - June 28, 2019 Category: Information Technology Source Type: research

Brain Tumor Detection Using Depth-First Search Tree Segmentation
AbstractWith the advent of image processing technologies, the in-depth portion of human body can be epitomized visually to perceive abnormalities in human anatomy. Image processing is a tool for identifying the substances and obtaining information from them. Medical image processing is a stimulating area to diagnose diseases specifically, brain cancer, breast cancer, liver cancer, neuro- and cardio-diseases, etc. Image segmentation is an act of segregating the images into various parts to identify a particular substance and its margins. Brain tumor is the irregular and intense growth of tissues causing cancer. The most use...
Source: Journal of Medical Systems - June 28, 2019 Category: Information Technology Source Type: research

Improved Deep Learning Network Based in combination with Cost-sensitive Learning for Early Detection of Ovarian Cancer in Color Ultrasound Detecting System
AbstractWith the development of theories and technologies in medical imaging, most of the tumors can be detected in the early stage. However, the nature of ovarian cysts lacks accurate judgement, leading to that many patients with benign nodules still need Fine Needle Aspiration (FNA) biopsies or surgeries, increasing the physical pain and mental pressure of patients as well as unnecessary medical health care costs. Therefore, we present an image diagnosis system for classifying the ovarian cysts in color ultrasound images, which novelly applies the image features fused by both high-level features from deep learning networ...
Source: Journal of Medical Systems - June 28, 2019 Category: Information Technology Source Type: research

A Machine Learning-Based Approach for the Prediction of Acute Coronary Syndrome Requiring Revascularization
AbstractThe aim of this study is to predict acute coronary syndrome (ACS) requiring revascularization in those patients presenting early-stage angina-like symptom using machine learning algorithms. We obtained data from 2344 ACS patients, who required revascularization and from 3538 non-ACS patients. We analyzed 20 features that are relevant to ACS using standard algorithms, support vector machines and linear discriminant analysis. Based on feature pattern and filter characteristics, we analyzed and extracted a strong prediction function out of the 20 selected features. The obtained prediction functions are relevant showin...
Source: Journal of Medical Systems - June 28, 2019 Category: Information Technology Source Type: research

An Efficient Method for the Detection of Oblique Fissures from Computed Tomography images of Lungs
AbstractDetection of a pulmonary fissure in lungs is difficult due to its anatomical changeability among humans and it is essential in the clinical environment for accurate localizing and treating the lung abnormalities on a lobe level in human lungs. In this work, an algorithmic approach is proposed to detect the lung oblique fissures from lung computed tomography (CT) images. In the preprocessing module of our approach, the lung structures are enhanced using morphological operation and lung images are de-noised using Wiener filter. In the second module, lung regions are segmented using techniques, namely, thresholding an...
Source: Journal of Medical Systems - June 28, 2019 Category: Information Technology Source Type: research

Cervical Cancer Detection and Diagnosis Based on Saliency Single Shot MultiBox Detector in Ultrasonic Elastography
AbstractCervical cancer is increasingly threatening the health of women, then early screening and prevention of cervical cancer is very necessary. A traditional saliency cervical cancer detection method in Ultrasound image, assuming that there is only one salient object, is not conductive to practical application. Their effects are dependent on saliency threshold. Object detection model provides a kind of new solutions for multiple salient objects. Shot multiBox detector can accurately detect multi-objects with different scales simultaneously except for small cervical cancer regions. To overcome this drawback, this paper p...
Source: Journal of Medical Systems - June 27, 2019 Category: Information Technology Source Type: research

K – Shrinkage Function for ECG Signal Denoising
AbstractECG signals is a graphical way of recording the electrical actions of the heart for the various diagnostic purposes. ECG signals are affected by various noises such as Electrode Contact, Baseline Wandering, Motion artifact, Power-line interference, Muscle Contractions, and Electrosurgical noise during data acquisition. Denoising is a technique which is used for removing the noise in ECG signals which keeps the useful information. In this paper, a new category of Wavelet shrinkage methods is proposed. The white Gaussian noise is mixed with the ECGs for simulation and tested with the new class of shrinkage function a...
Source: Journal of Medical Systems - June 27, 2019 Category: Information Technology Source Type: research

A Multimodal Authentication for Biometric Recognition System using Intelligent Hybrid Fusion Techniques
AbstractBiometric Recognition and Authentication is used in many applications for the secured identification of the persons. Several Researches has been carried out to strengthen the security algorithms through which the identification can be done in secured manner. With this objective, a new algorithm called Hybrid Adaptive Fusion(HAF) has been proposed which works on the principle of hybrid fusion of two feature inputs such as Hand geometry and iris of the users. As mentioned, the proposed algorithm uses the novel and hybrid fusion of feature extraction along with the accurate machine learning classifier. Effective Linea...
Source: Journal of Medical Systems - June 27, 2019 Category: Information Technology Source Type: research

A Prototype Patient-Maintained Propofol Sedation System Using Target Controlled Infusion for Primary Lower-Limb Arthroplasty
AbstractEach year, many operations in the UK are performed with the patient awake, without the use of general anaesthesia. These include joint replacement procedures, and in order to reduce patient anxiety, the supervising anaesthetist delivers the sedative propofol intravenously using a target-controlled infusion (TCI) device. However, it is clinically challenging to judge the required effect-site concentration of sedative for an individual patient, resulting in patient care issues related to over or under-sedation. To improve the process, patient-maintained propofol sedation (PMPS), where the patient can request an incre...
Source: Journal of Medical Systems - June 26, 2019 Category: Information Technology Source Type: research

Assessment of users ’ acceptability of a mobile-based embodied conversational agent for the prevention and detection of suicidal behaviour
AbstractThe use of embodied conversational agents in mental health has increased in the last years. Several studies exist describing the benefits and advantages of this technology as a complement to psychotherapeutic interventions for the prevention and treatment of depression, anxiety, or post-traumatic stress disorder, to name a few. A small number of these works implement capabilities in the virtual agent focused on the detection and prevention of suicidality risks. The work presented in this paper describes the development of an embodied conversational agent used as the main interface in HelPath, a mobile-based applica...
Source: Journal of Medical Systems - June 25, 2019 Category: Information Technology Source Type: research

An efficient Gait Dynamics classification method for Neurodegenerative Diseases using Brain signals
AbstractNeurons of the human brain are primarily affected by the Huntington ’s disease (HD), Amyotrophic Lateral Sclerosis (ALS), Parkinson’s disease and so on. Classification of these neurodegenerative diseases (NDD) is clinically important to analyze the destruction of nerve cells. Early diagnosis of NDD’S helps in saving the human life. Based on the report of previ ous studies, motor impairment or human gait cycle is largely affected by the clinical symptoms of NDD. Accurate diagnosis of various neurodegenerative diseases in correct time is very important for early diagnosis of the disease. Diseases ca...
Source: Journal of Medical Systems - June 25, 2019 Category: Information Technology Source Type: research

Communication Channels Used by Women to Contact a Population-Based Breast Cancer Screening Program in Catalonia, Spain
This study describes the communication channels used by women invited for breast cancer screening to contact the program. The study population consisted of 141,684 women, aged 50 –69 years, who were invited during 2015–2016 for screening by the Catalan Breast Cancer Screening Program (Spain). Multiple logistic regression models were performed to assess the association between age, screening history, socioeconomic status and reasons for contacting the program and the out come variables (contact with the program; contact through information and communication technology (ICT) channels). Among the 141,684 wome...
Source: Journal of Medical Systems - June 24, 2019 Category: Information Technology Source Type: research

Collaborative Search Engine for Enhancing Personalized User Search Based on Domain Knowledge
AbstractIn the fast moving world, users cross over large amount of data for their daily life. Due to the misinterpretation of the context, user cannot retrieve the proper context or failure to retrieve the information. The main aim of this paper is to design and implement a personalized search engine which works based on the domain of the user with the specific constraints suggested by the user. In this paper, the proposed system, build a search engine with web content which get information from the document corpus for the domain through the cloud databases. Web search engine re-ranks the generic results based on a ranking...
Source: Journal of Medical Systems - June 23, 2019 Category: Information Technology Source Type: research

Automated Breast Density Measurements From Chest Computed Tomography Scans
AbstractTo develop an automated method for quantifying percent breast density from chest computed tomography (CT) scans. A na ïve Bayesian classifier based on gray-level intensities and spatial relationships was developed on CT scans from 10 patients diagnosed with Hodgkin lymphoma (HL) and imaged as part of routine clinical care. The algorithm was validated on CT scans from 75 additional HL patients. The classifier was d eveloped and validated using a reference dataset with consensus manual segmentation of fibroglandular tissue. Accuracy was evaluated at the pixel-level to examine how well the algorithm identified pi...
Source: Journal of Medical Systems - June 22, 2019 Category: Information Technology Source Type: research

Automatic Labeling of MR Brain Images Through the Hashing Retrieval Based Atlas Forest
AbstractThe multi-atlas method is one of the efficient and common automatic labeling method, which uses the prior information provided by expert-labeled images to guide the labeling of the target. However, most multi-atlas-based methods depend on the registration that may not give the correct information during the label propagation. To address the issue, we designed a new automatic labeling method through the hashing retrieval based atlas forest. The proposed method propagates labels without registration to reduce the errors, and constructs a target-oriented learning model to integrate information among the atlases. This ...
Source: Journal of Medical Systems - June 21, 2019 Category: Information Technology Source Type: research