A Knowledge-Modeling Approach to Integrate Multiple Clinical Practice Guidelines to Provide Evidence-Based Clinical Decision Support for Managing Comorbid Conditions
We present a CPG integration framework —termed as COMET (Comorbidity Ontological Modeling& ExecuTion) that manifests a knowledge management approach to model, computerize and integrate multiple CPG to yield a comorbid CPG knowledge model that upon execution can provide evidence-based recommendations for handling comorbid patients. COMET exploits semantic web technologies to achieve (a) CPG knowledge synthesis to translate a paper-based CPG to disease-specific clinical pathways (CP) that include specialized co-morbidity management procedures based on input from domain experts; (b) CPG knowledge modeling to compute...
Source: Journal of Medical Systems - October 26, 2017 Category: Information Technology Source Type: research

Web-Enabled Distributed Health-Care Framework for Automated Malaria Parasite Classification: an E-Health Approach
AbstractWeb-enabled e-healthcare system or computer assisted disease diagnosis has a potential to improve the quality and service of conventional healthcare delivery approach. The article describes the design and development of a web-based distributed healthcare management system for medical information and quantitative evaluation of microscopic images using machine learning approach for malaria. In the proposed study, all the health-care centres are connected in a distributed computer network. Each peripheral centre manages its ’ own health-care service independently and communicates with the central server for remo...
Source: Journal of Medical Systems - October 26, 2017 Category: Information Technology Source Type: research

Primary Prevention of Asymptomatic Cardiovascular Disease Using Physiological Sensors Connected to an iOS App
AbstractCardiovascular disease is the first cause of death and disease and one of the leading causes of disability in developed countries. The prevalence of this disease is expected to increase in coming years although the death rate may be lower due to better treatment. To present the design and development of a technology solution for primary prevention of cardiovascular disease in asymptomatic patients. The system aims to raise the population ’s awareness of the importance of adopting healthy heart habits by using self-feedback techniques. A series of sensors which makes it possible to detect cardiovascular risk f...
Source: Journal of Medical Systems - October 26, 2017 Category: Information Technology Source Type: research

Detection and Segmentation of Pectoral Muscle on MLO-View Mammogram Using Enhancement Filter
AbstractThe presence of predominant density region of the pectoral muscle in Medio-Lateral Oblique (MLO) view of the mammograms can affect or bias the results of mammograms processing for breast cancer detection using intensity based methods. Therefore, to improve the diagnostic performance of breast cancer detection using computer-aided system, identification and segmentation of pectoral muscle is an important task. This paper presents, an intensity based approach to identify the pectoral region in mammograms. In the presented approach enhancement mask and threshold technique is used to enhance and select the pectoral reg...
Source: Journal of Medical Systems - October 25, 2017 Category: Information Technology Source Type: research

Reliability of the Parabola Approximation Method in Heart Rate Variability Analysis Using Low-Sampling-Rate Photoplethysmography
In this study, we utilized the parabola approximation method and measured it against the conventional cubic spline interpolation method for the time, frequency, and nonlinear domain variables of heart rate variability. For each parameter, the intra-class correlation, standard error of measurement, Bland-Altman 95% limits of agreement and root mean squared relative error were presented. Also, elapsed time taken to compute each interpolation algorithm was investigated. The results indicated that parabola approximation is a simple, fast, and accurate algorithm-based method for compensating the low timing resolution of pulse b...
Source: Journal of Medical Systems - October 24, 2017 Category: Information Technology Source Type: research

A New Approach to Predict user Mobility Using Semantic Analysis and Machine Learning
AbstractMobility prediction is a technique in which the future location of a user is identified in a given network. Mobility prediction provides solutions to many day-to-day life problems. It helps in seamless handovers in wireless networks to provide better location based services and to recalculate paths in Mobile Ad hoc Networks (MANET). In the present study, a framework is presented which predicts user mobility in presence and absence of mobility history. Na ïve Bayesian classification algorithm and Markov Model are used to predict user future location when user mobility history is available. An attempt is made to...
Source: Journal of Medical Systems - October 19, 2017 Category: Information Technology Source Type: research

An Integrated Approach Using Chaotic Map & amp; Sample Value Difference Method for Electrocardiogram Steganography and OFDM Based Secured Patient Information Transmission
AbstractThis paper presents a patient ’s confidential data hiding scheme in electrocardiogram (ECG) signal and its subsequent wireless transmission. Patient’s confidential data is embedded in ECG (called stego-ECG) using chaotic map and the sample value difference approach. The sample value difference approach effectually hides the patient’s confidential data in ECG sample pairs at the predefined locations. The chaotic map generates these predefined locations through the use of selective control parameters. Subsequently, the wireless transmission of the stego-ECG is analyzed using the Orthogonal Frequency...
Source: Journal of Medical Systems - October 18, 2017 Category: Information Technology Source Type: research

Supporting Emergency Medical Care Teams with an Integrated Status Display Providing Real-Time Access to Medical Best Practices, Workflow Tracking, and Patient Data
AbstractThe work of a hospital ’s medical staff is safety critical and often occurs under severe time constraints. To provide timely and effective cognitive support to medical teams working in such contexts, guidelines in the form of best practice workflows for healthcare have been developed by medical organizations. However, t he high cognitive load imposed in such stressful and rapidly changing environments poses significant challenges to the medical staff or team in adhering to these workflows. In collaboration with physicians and nurses from Carle Foundation Hospital, we first studied and modeled medical team&rsq...
Source: Journal of Medical Systems - October 17, 2017 Category: Information Technology Source Type: research

Preoperative Genetic Testing and Personalized Medicine: Changing the Care Paradigm
(Source: Journal of Medical Systems)
Source: Journal of Medical Systems - October 17, 2017 Category: Information Technology Source Type: research

A Systematic Review of Techniques and Sources of Big Data in the Healthcare Sector
AbstractThe main objective of this paper is to present a review of existing researches in the literature, referring to Big Data sources and techniques in health sector and to identify which of these techniques are the most used in the prediction of chronic diseases. Academic databases and systems such as IEEE Xplore, Scopus, PubMed and Science Direct were searched, considering the date of publication from 2006 until the present time. Several search criteria were established as ‘techniques’ OR ‘sources’ AND ‘Big Data’ AND ‘medicine’ OR ‘health’, ‘techniques&r...
Source: Journal of Medical Systems - October 14, 2017 Category: Information Technology Source Type: research

Usability Operations on Touch Mobile Devices for Users with Autism
This article focuses on identifying the operations that can easily be performed by autistic users following the metrics of KML-GOMS, TLM and FLM. In addition, u sers of typical development were included in order to do a comparison between both types of users. The experiment was carried out using four applications designed for autistic users. Participants were subjects divided in two groups: level 1 and level 2 autistic users, and a group of users of typical development. During the experimentation, users performed a use case for each application; the time needed to perform each task was measured. Results show that the easie...
Source: Journal of Medical Systems - October 14, 2017 Category: Information Technology Source Type: research

Dynamic Scheduling for Veterans Health Administration Patients using Geospatial Dynamic Overbooking
This study demonstrates that dynamic scheduling using geo-location data can reduce the number of unused appointments with minimal risk of double booking resulting from incorrect predictions. We acknowledge that there could be privacy concerns with regards to government possession of one’s location and offer strategies for all eviating these concerns in our conclusion. (Source: Journal of Medical Systems)
Source: Journal of Medical Systems - October 12, 2017 Category: Information Technology Source Type: research

Text Messaging (SMS) Helping Cancer Care in Patients Undergoing Chemotherapy Treatment: a Pilot Study
This study investigates a method of guiding cancer patients, in relation to outpatient chemotherapy treatment, using SMS (short message service) text messaging. A smartphone application called cHEmotHErApp was developed, and its primary function is to send out SMS text messages with guidance for self-care and emotional support for oncology patients undergoing chemotherapy. Thus, the main objective of this study is to evaluate the acceptance and perception of patients of the receipt of these SMS messages, as well as to evaluate the possible benefits reported by the participants. Adult patients diagnosed with cancer, who sta...
Source: Journal of Medical Systems - October 9, 2017 Category: Information Technology Source Type: research

A Systematic Review of Wearable Systems for Cancer Detection: Current State and Challenges
AbstractRapid growth of sensor and computing platforms have introduced the wearable systems. In recent years, wearable systems have led to new applications across all medical fields. The aim of this review is to present current state-of-the-art approach in the field of wearable system based cancer detection and identify key challenges that resist it from clinical adoption. A total of 472 records were screened and 11 were finally included in this study. Two types of records were studied in this context that includes 45% research articles and 55% manufactured products. The review was performed per PRISMA guidelines where con...
Source: Journal of Medical Systems - October 2, 2017 Category: Information Technology Source Type: research

A Green Media Access Method for IEEE 802.15.6 Wireless Body Area Network
AbstractIt is of utmost importance to conserve battery energy to the maximum possible extent in WBAN nodes while collecting and transferring medical data. The IEEE 802.15.6 WBAN standard does not specify any method to conserve energy. This paper focuses on a method to conserve energy in IEEE 802.15.6 WBAN nodes when using CSMA/CA, while simultaneously restricting data delivery delay to the required value as specified in medical applications. The technique is to allow the nodes to sleep all the times except for receiving beacons and for transmitting data frames whenever a data frame enters an empty buffer. The energy consum...
Source: Journal of Medical Systems - September 30, 2017 Category: Information Technology Source Type: research

Evolutionary and Neural Computing Based Decision Support System for Disease Diagnosis from Clinical Data Sets in Medical Practice
AbstractAs a recent trend, various computational intelligence and machine learning approaches have been used for mining inferences hidden in the large clinical databases to assist the clinician in strategic decision making. In any target data the irrelevant information may be detrimental, causing confusion for the mining algorithm and degrades the prediction outcome. To address this issue, this study attempts to identify an intelligent approach to assist disease diagnostic procedure using an optimal set of attributes instead of all attributes present in the clinical data set. In this proposed Application Specific Intellige...
Source: Journal of Medical Systems - September 27, 2017 Category: Information Technology Source Type: research

Cardiopulmonary Coupling Analysis Using Home Sleep Monitoring System Based on Air Mattress
This study investigates the feasibility of cardiopulmonary coupling (CPC) using home sleep monitoring system. We have designed a system to measure respiratory signals and normal-to-normal (NN) interval series in a non-contact based on air mattress. Then, CPC analysis was conducted using extracted respiratory signals and NN interval series, and six CPC parameters were extracted (VLFC, LFC, HFC, e-LFC, e-LFCNB and e-LFCBB). To evaluate the proposed method, two statistical analyses were conducted between the CPC parameters extracted by the electrocardiogram-based conventional method and the air mattress-based proposed method ...
Source: Journal of Medical Systems - September 26, 2017 Category: Information Technology Source Type: research

A New Evolutionary Algorithm-Based Home Monitoring Device for Parkinson ’s Dyskinesia
AbstractParkinson ’s disease (PD) is a neurodegenerative movement disorder. Although there is no cure, symptomatic treatments are available and can significantly improve quality of life. The motor, or movement, features of PD are caused by reduced production of the neurotransmitter dopamine. Dopamine deficiency is most often treated using dopamine replacement therapy. However, this therapy can itself lead to further motor abnormalities referred to as dyskinesia. Dyskinesia consists of involuntary jerking movements and muscle spasms, which can often be violent. To minimise dyskinesia, it is necessary to accura tely ti...
Source: Journal of Medical Systems - September 25, 2017 Category: Information Technology Source Type: research

Extricating Manual and Non-Manual Features for Subunit Level Medical Sign Modelling in Automatic Sign Language Classification and Recognition
AbstractSubunit segmenting and modelling in medical sign language is one of the important studies in linguistic-oriented and vision-based Sign Language Recognition (SLR). Many efforts were made in the precedent to focus the functional subunits from the view of linguistic syllables but the problem is implementing such subunit extraction using syllables is not feasible in real-world computer vision techniques. And also, the present recognition systems are designed in such a way that it can detect the signer dependent actions under restricted and laboratory conditions. This research paper aims at solving these two important i...
Source: Journal of Medical Systems - September 22, 2017 Category: Information Technology Source Type: research

A Metaheuristically Tuned Interval Type 2 Fuzzy System to Reduce Segmentation Uncertainty in Brain MRI Images
AbstractPrecise segmentation of magnetic resonance image (MRI) seems challenging because of the complex structure of the brain, non-uniform field in images, and noise. As a result, decision-making is associated with uncertainty. Fuzzy based approaches have been developed to overcome this problem, though most of them use fuzzy type 1 method, and sometimes contain a pre-processing step. This paper “modified type 2 fuzzy system” (MT2FS) declares a state-of-the-art method to segment MRI images using interval fuzzy type-2. Furthermore, Genetic algorithm has been employed to specify the best values for mean and varia...
Source: Journal of Medical Systems - September 19, 2017 Category: Information Technology Source Type: research

Security Belt for Wireless Implantable Medical Devices
In this study, a new protective design compatible with existing non-secure systems was proposed, since it is focused on the secure communication of wireless IMD systems in all transmissions. This new protector is an external wearable device and appears to be a belt fitted around for the patients IMD implanted. However, in order to provide effective full duplex transmissions and physical layer security, some sophisticated transceiver antennas have been placed on the belt. In this approach, beam-focused multi-antennas in optimal positions on the belt are randomly switched when transmissions to the IMD are performed and multi...
Source: Journal of Medical Systems - September 19, 2017 Category: Information Technology Source Type: research

Electronic Health Records and Preparedness: Lessons from Hurricanes Katrina and Harvey
(Source: Journal of Medical Systems)
Source: Journal of Medical Systems - September 19, 2017 Category: Information Technology Source Type: research

Features and Effects of Information Technology-Based Interventions to Improve Self-Management in Chronic Kidney Disease Patients: a Systematic Review of the Literature
AbstractSlowing down the progression of chronic kidney disease (CKD) and its adverse health outcomes requires the patient ’s self-management and attention to treatment recommendations. Information technology (IT)–based interventions are increasingly being used to support self-management in patients with chronic diseases such as CKD. We conducted a systematic review of randomized controlled trials (RCTs) to assess t he features and effects of IT-based interventions on self-management outcomes of CKD patients. A comprehensive search was conducted in Medline, Scopus, and the Cochrane Library to identify relevant p...
Source: Journal of Medical Systems - September 18, 2017 Category: Information Technology Source Type: research

Can a Novel ICU Data Display Positively Affect Patient Outcomes and Save Lives?
AbstractThe aim of this study was to quantify the impact of ProCCESs AWARE, Ambient Clinical Analytics, Rochester, MN, a novel acute care electronic medical record interface, on a range of care process and patient health outcome metrics in intensive care units (ICUs). ProCCESs AWARE is a novel acute care EMR interface that contains built-in tools for error prevention, practice surveillance, decision support and reporting. We compared outcomes before and after AWARE implementation using a prospective cohort and a historical control. The study population included all critically ill adult patients (over 18  years old) ad...
Source: Journal of Medical Systems - September 18, 2017 Category: Information Technology Source Type: research

Erratum to: Towards Robot-Assisted Echocardiographic Monitoring in Catheterization Laboratories
(Source: Journal of Medical Systems)
Source: Journal of Medical Systems - September 15, 2017 Category: Information Technology Source Type: research

Mathematical Development and Computational Analysis of Harmonic Phase-Magnetic Resonance Imaging (HARP-MRI) Based on Bloch Nuclear Magnetic Resonance (NMR) Diffusion Model for Myocardial Motion
In this study, we applied Harmonic Phase MRI method to compute the difference between tagged and untagged NMR transverse magnetization based on the Bloch NMR diffusion equation and obtained radial wave tagging function for analysis of myocardial motion. The analytical solution of the Bloch NMR equations and the computational simulation of myocardial motion as developed in this study are intended to significantly improve healthcare for accurate diagnosis, prognosis and treatment of cardiovascular related deceases at the lowest cost because MRI scan is still one of the most expensive anywhere. The analysis is fundamental and...
Source: Journal of Medical Systems - September 13, 2017 Category: Information Technology Source Type: research

Medical Images are Safe – an Enhanced Chaotic Scrambling Approach
In this study, the pseudo random number generators (PRNGs), namely, the linear congruential generator (LCG) and XOR shift generator (XSG ) are improved and combined with improved logistic 2D coupled chaotic map to provide enhanced chaos based encryption. The proposed scheme encrypts the Digital Imaging and Communication in Medicine (DICOM) images to protect the patient confidentiality during the storage and transfer in radiological i nformation system (RIS). The cipher image was measured with various security analyses and tested with different test suites to prove its randomness. (Source: Journal of Medical Systems)
Source: Journal of Medical Systems - September 12, 2017 Category: Information Technology Source Type: research

Wavelet-based Encoding Scheme for Controlling Size of Compressed ECG Segments in Telecardiology Systems
AbstractOne of the major issues in time-critical medical applications using wireless technology is the size of the payload packet, which is generally designed to be very small to improve the transmission process. Using small packets to transmit continuous ECG data is still costly. Thus, data compression is commonly used to reduce the huge amount of ECG data transmitted through telecardiology devices. In this paper, a new ECG compression scheme is introduced to ensure that the compressed ECG segments fit into the available limited payload packets, while maintaining a fixed CR to preserve the diagnostic information. The sche...
Source: Journal of Medical Systems - September 12, 2017 Category: Information Technology Source Type: research

Three-Category Classification of Magnetic Resonance Hearing Loss Images Based on Deep Autoencoder
AbstractHearing loss, a partial or total inability to hear, is known as hearing impairment. Untreated hearing loss can have a bad effect on normal social communication, and it can cause psychological problems in patients. Therefore, we design a three-category classification system to detect the specific category of hearing loss, which is beneficial to be treated in time for patients. Before the training and test stages, we use the technology of data augmentation to produce a balanced dataset. Then we use deep autoencoder neural network to classify the magnetic resonance brain images. In the stage of deep autoencoder, we us...
Source: Journal of Medical Systems - September 11, 2017 Category: Information Technology Source Type: research

The Development of Skull Prosthesis Through Active Contour Model
AbstractSkull defects result in brain infection and inadequate brain protection and pose a general danger to patient health. To avoid these situations and prevent re-injury, a prosthesis must be constructed and grafted onto the deficient region. With the development of rapid customization through additive manufacturing and 3D printing technology, skull prostheses can be fabricated accurately and efficiently prior to cranioplasty. However, an unfitted skull prosthesis made with a metal implant can cause repeated infection, potentially necessitating secondary surgery. This paper presents a method of creating suitably geometr...
Source: Journal of Medical Systems - September 9, 2017 Category: Information Technology Source Type: research

Efficiency Analysis of Integrated Public Hospital Networks in Outpatient Internal Medicine
AbstractHealthcare systems are evolving towards a complex network of interconnected services due to the increasing costs and the increasing expectations for high service levels. It is evidenced in the literature the importance of implementing management techniques and sophisticated methods to improve theefficiency of healthcare systems, especially in emerging economies. This paper proposes an integrated collaboration model between two public hospitals to reach the reduction of weighted average lead time in outpatient internal medicine department. A strategic framework based on value stream mapping and collaborative practic...
Source: Journal of Medical Systems - September 7, 2017 Category: Information Technology Source Type: research

Simulation-Based Design of ED Operations with Care Streams to Optimize Care Delivery and Reduce Length of Stay in the Emergency Department
AbstractFaced with the opportunity to significantly deviate from classic operations, a new emergency department (ED) and novel strategy for patient care delivery were simultaneously initiated with the aid of model-based simulation. To answer the design and implementation questions, a traditional strategy for construction of discrete-eventmodel simulation was employed to define ED operations for a newly constructed facility in terms of workflow, variables, resources, structure, process logic and associated assumptions. Benefits were achieved before, during and after implementation of an unprecedented operations strategy &md...
Source: Journal of Medical Systems - September 6, 2017 Category: Information Technology Source Type: research

Providers ’ Response to Clinical Decision Support for QT Prolonging Drugs
AbstractCommonly used drugs in hospital setting can cause QT prolongation and trigger life-threatening arrhythmias. We evaluate changes in prescribing behavior after the implementation of a clinical decision support system to prevent the use of QT prolonging medications in the hospital setting. We conducted a quasi-experimental study, before and after the implementation of a clinical decision support system integrated in the electronic medical record (QT-alert system). This system detects patients at risk of significant QT prolongation (QTc>500ms) and alerts providers ordering QT prolonging drugs. We reviewed the electr...
Source: Journal of Medical Systems - September 2, 2017 Category: Information Technology Source Type: research

Classification of Focal and Non Focal Epileptic Seizures Using Multi-Features and SVM Classifier
AbstractIdentifying epileptogenic zones prior to surgery is an essential and crucial step in treating patients having pharmacoresistant focal epilepsy. Electroencephalogram (EEG) is a significant measurement benchmark to assess patients suffering from epilepsy. This paper investigates the application of multi-features derived from different domains to recognize the focal and non focal epileptic seizures obtained from pharmacoresistant focal epilepsy patients from Bern Barcelona database. From the dataset, five different classification tasks were formed. Total 26 features were extracted from focal and non focal EEG. Signifi...
Source: Journal of Medical Systems - September 2, 2017 Category: Information Technology Source Type: research

An Human-Computer Interactive Augmented Reality System for Coronary Artery Diagnosis Planning and Training
AbstractIn order to let the doctor carry on the coronary artery diagnosis and preoperative planning in a more intuitive and more natural way, and to improve the training effect for interns, an augmented reality system for coronary artery diagnosis planning and training (ARS-CADPT) is designed and realized in this paper. At first, a 3D reconstruction algorithm based on computed tomographic (CT) images is proposed to model the coronary artery vessels (CAV). Secondly, the algorithms of static gesture recognition and dynamic gesture spotting and recognition are presented to realize the real-time and friendly human-computer int...
Source: Journal of Medical Systems - September 2, 2017 Category: Information Technology Source Type: research

MyHealthRecord in Australian Primary Health Care: An Attitudinal Evaluation Study
AbstractAustralia ’s investment in the national MyHealthRecord has not been successfully communicated to the myriad of stakeholder groups, resulting in negative perceptions about the system and serious consequences for the uptake of the MyHealthRecord. Local stakeholder attitudes and perceptions will be crucial in setting the scene for success or failure with MyHealthRecord. A survey was undertaken to identify primary healthcare provider perceptions of the MyHealthRecord system, and capture the perceived enablers and barriers for use of the MyHealthRecord system. Almost all (89%) of the twenty-seven (27) resp ondents...
Source: Journal of Medical Systems - September 2, 2017 Category: Information Technology Source Type: research

Image Retrieval Based on Local Mesh Vector Co-occurrence Pattern for Medical Diagnosis from MRI Brain Images
AbstractIn modern health-care, for evidence-based diagnosis, there is a requirement for an efficient image retrieval approach to retrieve the cases of interest that have similar characteristics from the large image databases. This paper presents a feature extraction approach that aims at extracting texture features present in the medical images using Local Pattern Descriptor (LPD) and Gray-level Co-occurrence Matrix (GLCM). As a main contribution, a novel local pattern named Local Mesh Vector Co-occurrence Pattern (LMVCoP) has been proposed by concatenating the Local Mesh Co-occurrence Pattern (LMCoP) and the Local Vector ...
Source: Journal of Medical Systems - August 31, 2017 Category: Information Technology Source Type: research

Predicting Major Adverse Kidney Events among Critically Ill  Adults Using the Electronic Health Record
AbstractPrediction of major adverse kidney events in critically ill patients may help target therapy, allow risk adjustment, and facilitate the conduct of clinical trials. In a cohort comprised of all critically ill adults admitted to five intensive care units at a single tertiary care center over one year, we developed a logistic regression model for the outcome of Major Adverse Kidney Events within 30  days (MAKE30), the composite of persistent renal dysfunction, new renal replacement therapy (RRT), and in-hospital mortality. Proposed risk factors for the MAKE30 outcome were selecteda priori and included age, race, ...
Source: Journal of Medical Systems - August 31, 2017 Category: Information Technology Source Type: research

Ensemble Classifiers for Predicting HIV-1 Resistance from Three Rule-Based Genotypic Resistance Interpretation Systems
This study demonstrates that ensemble classifiers can be an alternative tool for clinical decision-making since they provide a single resistance profile from the most commonly used resistance interpretation systems. (Source: Journal of Medical Systems)
Source: Journal of Medical Systems - August 30, 2017 Category: Information Technology Source Type: research

All that Glitters is not Gold: Six Steps Before Selecting and Prioritizing e-Health Services
AbstractSince the market for e-health applications is constantly growing, it is getting an ever more complex endeavor to select and prioritize the right service offering given a particular situation. In examining the extant literature, it was revealed that little emphasis is actually placed on how to analyze contextual or environmental factors prior to the selection and prioritization of e-health services. With this paper, we therefore propose a formative framework consisting of six fundamental yet very pragmatic steps that may support decision makers in identifying the most important contextual pre-requisites that e-healt...
Source: Journal of Medical Systems - August 29, 2017 Category: Information Technology Source Type: research

Neural Network Classifier for Automatic Detection of Invasive Versus Noninvasive Airway Management Technique Based on Respiratory Monitoring Parameters in a Pediatric Anesthesia
We describe a method to automatically distinguish between noninvasive and invasive airway device support in a pediatric surgical setting based on respiratory monitoring parameters. The results show that the neural network classifier algorithm can accurately classify noninvasive and invasive airway device support. (Source: Journal of Medical Systems)
Source: Journal of Medical Systems - August 23, 2017 Category: Information Technology Source Type: research

Operating Room Efficiency before and after Entrance in a Benchmarking Program for Surgical Process Data
AbstractOperating room (OR) efficiency continues to be a high priority for hospitals. In this context the concept of benchmarking has gained increasing importance as a means to improve OR performance. The aim of this study was to investigate whether and how participation in a benchmarking and reporting program for surgical process data was associated with a change in OR efficiency, measured through raw utilization, turnover times, and first-case tardiness. The main analysis is based on panel data from 202 surgical departments in German hospitals, which were derived from the largest database for surgical process data in Ger...
Source: Journal of Medical Systems - August 23, 2017 Category: Information Technology Source Type: research

Extreme Learning Machine Framework for Risk Stratification of Fatty Liver Disease Using Ultrasound Tissue Characterization
This study proposes a reliable and fast Extreme Learning Machine (ELM)-based tissue characterization system (a class of Symtosis) for risk stratification of ultrasound liver images. ELM is used to train single layer feed forward neural network (SLFFNN). The input-to-hidden layer weights are randomly generated reducing computational cost. The only weights to be trained are hidden-to-output layer which is done in a single pass (without any iteration) making ELM faster than conventional ML methods. Adapting four types ofK-fold cross-validation (K = 2, 3, 5 and 10) protocols on three kinds of data sizes:S0-original, ...
Source: Journal of Medical Systems - August 23, 2017 Category: Information Technology Source Type: research

The Top 100 Articles in the Medical Informatics: a Bibliometric Analysis
The objective of this study was to identify and to examine the characteristics of top 100 cited articles in the field of Medical Informatics based on data acquired from the Thomson Reuters ’ Web of Science (WOS) in October, 2016. The data was collected using two procedures: first we included articles published in the 24 journals listed in the “Medical Informatics” category; second, we retrieved articles using the key words: “informatics”, “medical informatics”, “bio medical informatics”, ”clinical informatics” and “health informatics&rdquo...
Source: Journal of Medical Systems - August 19, 2017 Category: Information Technology Source Type: research

Implementation of a Big Data Accessing and Processing Platform for Medical Records in Cloud
AbstractBig Data analysis has become a key factor of being innovative and competitive. Along with population growth worldwide and the trend aging of population in developed countries, the rate of the national medical care usage has been increasing. Due to the fact that individual medical data are usually scattered in different institutions and their data formats are varied, to integrate those data that continue increasing is challenging. In order to have scalable load capacity for these data platforms, we must build them in good platform architecture. Some issues must be considered in order to use the cloud computing to qu...
Source: Journal of Medical Systems - August 18, 2017 Category: Information Technology Source Type: research

Towards Robot-Assisted Echocardiographic Monitoring in Catheterization Laboratories
AbstractThis paper proposes a robotic Transesophageal Echocardiography (TOE) system concept for Catheterization Laboratories. Cardiovascular disease causes one third of all global mortality. TOE is utilized to assess cardiovascular structures and monitor cardiac function during diagnostic procedures and catheter-based structural interventions. However, the operation of TOE underlies various conditions that may cause a negative impact on performance, the health of the cardiac sonographer and patient safety. These factors have been conflated and evince the potential of robot-assisted TOE. Hence, a careful integration of clin...
Source: Journal of Medical Systems - August 15, 2017 Category: Information Technology Source Type: research

Effect of Missing Inter-Beat Interval Data on Heart Rate Variability Analysis Using Wrist-Worn Wearables
This study investigated the effect of missing heart beat interval data on the HRV analysis in cases where pulse interval cannot be measured because of movement noise. First, we performed simulations by randomly removing data from the RR interval of the electrocardiogram measured from 39 subjects and observed the changes of the relative and normalized errors for the HRV parameters according to the total length of the missing heart beat interval data. Second, we measured the pulse interval from 20 subjects using a wrist-worn device for 24  h and observed the error value for the missing pulse interval data caused by the ...
Source: Journal of Medical Systems - August 15, 2017 Category: Information Technology Source Type: research

Maximized Inter-Class Weighted Mean for Fast and Accurate Mitosis Cells Detection in Breast Cancer Histopathology Images
AbstractBased on the Nottingham criteria, the number of mitosis cells in histopathological slides is an important factor in diagnosis and grading of breast cancer. For manual grading of mitosis cells, histopathology slides of the tissue are examined by pathologists at 40 × magnification for each patient. This task is very difficult and time-consuming even for experts. In this paper, a fully automated method is presented for accurate detection of mitosis cells in histopathology slide images. First a method based on maximum-likelihood is employed for segmentation and extraction of mitosis cell. Then a novel Maximized I...
Source: Journal of Medical Systems - August 14, 2017 Category: Information Technology Source Type: research

A Statistical Classifier to Support Diagnose Meningitis in Less Developed Areas of Brazil
AbstractThis paper describes the development of statistical classifiers to help diagnose meningococcal meningitis, i.e. the most sever, infectious and deadliest type of this disease. The goal is to find a mechanism able to determine whether a patient has this type of meningitis from a set of symptoms that can be directly observed in the earliest stages of this pathology. Currently, in Brazil, a country that is heavily affected by meningitis, all suspected cases require immediate hospitalization and the beginning of a treatment with invasive tests and medicines. This procedure, therefore, entails expensive treatments unaffo...
Source: Journal of Medical Systems - August 11, 2017 Category: Information Technology Source Type: research

Near-set Based Mucin Segmentation in Histopathology Images for Detecting Mucinous Carcinoma
AbstractThis paper introducesnear-set based segmentation method for extraction and quantification of mucin regions for detecting mucinouscarcinoma (MC which is a sub type of Invasive ductal carcinoma (IDC)). From histology point of view, the presence of mucin is one of the indicators for detection of this carcinoma. In order to detect MC, the proposed method majorly includes pre-processing by colour correction, colour transformation followed by near-set based segmentation and post-processing for delineating only mucin regions from the histological images at 40 ×. The segmentation step works in two phases such asLearn...
Source: Journal of Medical Systems - August 10, 2017 Category: Information Technology Source Type: research