Health Information Science and Systems Health Information Science and Systems RSS feedThis is an RSS file. You can use it to subscribe to this data in your favourite RSS reader or to display this data on your own website or blog.

Towards the classification of heart sounds based on convolutional deep neural network
ConclusionsThe obtained results are compared with some of the existing methods. The comparisons show that the proposed method outperformed. (Source: Health Information Science and Systems)
Source: Health Information Science and Systems - August 6, 2019 Category: Information Technology Source Type: research

Automated AJCC (7th edition) staging of non-small cell lung cancer (NSCLC) using deep convolutional neural network (CNN) and recurrent neural network (RNN)
ConclusionThe proposed CNN-RNN model performed commendably during the study. Further studies may be carried out to refine the model and develop an improved auxiliary decision support system for oncologists and radiologists. (Source: Health Information Science and Systems)
Source: Health Information Science and Systems - July 29, 2019 Category: Information Technology Source Type: research

Medical image enhancement in F-shift transformation domain
AbstractImage enhancement technology plays an important role in the diagnosis and treatment of medical diseases. In this paper, we propose a method to automatically enhance medical images. The proposed method could be used to support clinical medical diagnosis, adjuvant therapy and curative effect diagnosis. This scheme uses contrast limited adaptive histogram equalization (CLAHE) method in F-shift transformation domain. Firstly, we adjust the overall brightness of the underexposed or overexposed image. Secondly, we perform CLAHE to enhance the low-frequency components obtained by one-level two-dimensional F-shift transfor...
Source: Health Information Science and Systems - July 23, 2019 Category: Information Technology Source Type: research

A machine learning autism classification based on logistic regression analysis
AbstractAutistic Spectrum Disorder (ASD) is a neurodevelopmental condition associated with significant healthcare costs; early diagnosis could substantially reduce these. The economic impact of autism reveals an urgent need for the development of easily implemented and effective screening methods. Therefore, time-efficient ASD screening is imperative to help health professionals and to inform individuals whether they should pursue formal clinical diagnosis. Presently, very limited autism datasets associated with screening are available and most of them are genetic in nature. We propose new machine learning framework relate...
Source: Health Information Science and Systems - May 31, 2019 Category: Information Technology Source Type: research

Extracting features with medical sentiment lexicon and position encoding for drug reviews
AbstractMedical sentiment analysis refers to the extraction of sentiments or emotions from documents retrieved from healthcare sources, such as public forums and drug review websites. Previous studies prove that sentiment analysis for clinical documents has the potential for assisting patients with information for self assessing treatments, providing health professionals with more insights into patients ’ health conditions, or even managing relations between patients and doctors. Nevertheless, the lack of data used for empirical experiments in previous research indicates that there are strong needs for a systematic frame...
Source: Health Information Science and Systems - May 29, 2019 Category: Information Technology Source Type: research

Ballistocardiogram signal processing: a review
AbstractAcross the world, healthcare costs are projected to continue to increase, and the pressure on the healthcare system is only going to grow in intensity as the rate of growth of elderly population increases in the coming decades. As an example, when people age one possible condition that they may experience is sleep-disordered breathing (SDB). SDB, better known as the obstructive sleep apnea (OSA) syndrome, and associated cardiovascular complications are among the most common clinical disorders. The gold-standard approach to accurately diagnose OSA, is polysomnography (PSG), a test that should be performed in a speci...
Source: Health Information Science and Systems - May 15, 2019 Category: Information Technology Source Type: research

Multi-level medical periodic patterns from human movement behaviors
AbstractHuman movement behaviors could reveal many interesting medical patterns. Due to the advances in location-aware devices, a large volume of human movement behaviors has been captured in the form of spatio-temporal trajectories. These spatio-temporal trajectories are useful resources for medical data mining, and they could be used to classify which trajectory passes through medical centres and which one does not. Traditional approaches utilise time-series datasets while ignoring spatio-temporal semantics in order to detect periodic patterns in medical domains. They also fail to consider the inherent hierarchical natur...
Source: Health Information Science and Systems - April 18, 2019 Category: Information Technology Source Type: research

Wavelet based deep learning approach for epilepsy detection
AbstractElectroencephalogram (EEG) signal contains vital details regarding electrical actions performed by the brain. Analysis of these signals is important for epilepsy detection. However, analysis of these signals can be tricky in nature and requires human expertise. The human factor can result in subjective and possible erroneous epilepsy detection. To tackle this problem, Machine Learning (ML) algorithms were introduced, to remove the human factor. However, this approach is counterintuitive in nature as it involves using complex features for epilepsy detection. Hence to tackle this problem we have introduced a wavelet ...
Source: Health Information Science and Systems - April 7, 2019 Category: Information Technology Source Type: research

Students university healthy lifestyle practice: quantitative analysis
AbstractThe development of human being passes through several transition phases throughout the life span. The most critical phase that may influence the individuals ’ lifestyle is the college admission. During this phase, the students are independent and they are responsible for their own lives especially if they are far away from parental home. A healthy lifestyle is identified by regular exercises, healthy diet, and organized sleeping pattern. However, the transfer into a new environment may alternate the usual habits and cause major fluctuations in lifestyle. The students may be vulnerable to several stressful factors...
Source: Health Information Science and Systems - March 18, 2019 Category: Information Technology Source Type: research

Words prediction based on N-gram model for free-text entry in electronic health records
In this study, by applying the trigram language model, we presented a method to predict the next words while typing free texts. It is hypothesized that using this system may save typing time of free text. The words prediction model introduced in this research was trained and tested on the free texts regarding to colonoscopy, transesophageal echocardiogram, and anterior-cervical-decompression. Required time of typing for each of the above-mentioned reports calculated and compared with manual typing of the same words. It is revealed that 33.36% reduction in typing time and 73.53% reduction in keystroke. The designed system r...
Source: Health Information Science and Systems - February 28, 2019 Category: Information Technology Source Type: research

Managing uncertainty in imputing missing symptom value for healthcare of rural India
ConclusionsIt is worth to mention that the system is for primary healthcare and in emergency cases, patients are referred to the experts. (Source: Health Information Science and Systems)
Source: Health Information Science and Systems - February 18, 2019 Category: Information Technology Source Type: research

“Similar query was answered earlier”: processing of patient authored text for retrieving relevant contents from health discussion forum
AbstractOnline remedy finders and health-related discussion forums have become increasingly popular in recent years. Common web users write their health problems there and request suggestion from experts or other users. As a result, these forums became a huge repository of information and discussions on various health issues. An intelligent information retrieval system can help to utilize this repository in various applications. In this paper, we propose a system for the automatic identification of existing similar forum posts given a new post. The system is based on computing similarity between two patient authored texts....
Source: Health Information Science and Systems - February 18, 2019 Category: Information Technology Source Type: research

Estimation of number of ever born children using zero truncated count model: evidence from Bangladesh Demographic and Health Survey
This study proposes zero truncated Poisson and zero truncated negative binomial regression models in order to find the best fitted model to estimate number of ever born children using BDHS 2014 dataset. Findings reveal that, the number of children increases with the increment of respondent ’s age but number of children declines if education status of respondents as well as their husbands’ increases. Similarly, religion, wealth index and wanted last child have significantly influenced the number of child ever born. Surprisingly, the number of children ever born to a mother from rur al area does not differ significantly ...
Source: Health Information Science and Systems - December 5, 2018 Category: Information Technology Source Type: research

An optimized Mamdani FPD controller design of cardiac pacemaker
AbstractCardiac pacemaker is a standard implantable medical electronic device for management and treatment of the heart rhythm disorders aiming to improved healthcare. Developing a new pacemaker based heart stimulation techniques has a vital role in preserving the patient ’s life. This target inspired the present work to design a new Mamdani fuzzy proportional–derivative (FPD) controller of a cardiac pacemaker, where Mamdani algorithm is the most common algorithm to deal with the human signals. The electrical pulses have closed features to the Sino atrial node pu lses, which are delivered to the patient’s heart chamb...
Source: Health Information Science and Systems - November 28, 2018 Category: Information Technology Source Type: research

Neural networks for mining the associations between diseases and symptoms in clinical notes
AbstractThere are challenges for analyzing the narrative clinical notes in Electronic Health Records (EHRs) because of their unstructured nature. Mining the associations between the clinical concepts within the clinical notes can support physicians in making decisions, and provide researchers evidence about disease development and treatment. In this paper, in order to model and analyze disease and symptom relationships in the clinical notes, we present a concept association mining framework that is based on word embedding learned through neural networks. The approach is tested using 154,738 clinical notes from 500 patients...
Source: Health Information Science and Systems - November 28, 2018 Category: Information Technology Source Type: research