Health Information Science and Systems
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A machine learning autism classification based on logistic regression analysis
Health Information Science and Systems - Tập 7 - Trang 1-11 - 2019
Autistic 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 ...... hiện toàn bộ
STSNet: a novel spatio-temporal-spectral network for subject-independent EEG-based emotion recognition
Health Information Science and Systems - Tập 11 - Trang 1-16 - 2023
How to use the characteristics of EEG signals to obtain more complementary and discriminative data representation is an issue in EEG-based emotion recognition. Many studies have tried spatio-temporal or spatio-spectral feature fusion to obtain higher-level representations of EEG data. However, these studies ignored the complementarity between spatial, temporal and spectral domains of EEG signals, ...... hiện toàn bộ
Guest editorial: special issue on “Artificial Intelligence in Health and Medicine”
Health Information Science and Systems - Tập 6 Số 1 - 2018
Features based on variational mode decomposition for identification of neuromuscular disorder using EMG signals
Health Information Science and Systems - - 2018
“Similar query was answered earlier”: processing of patient authored text for retrieving relevant contents from health discussion forum
Health Information Science and Systems - - 2019
Autism screening: an unsupervised machine learning approach
Health Information Science and Systems - Tập 10 - Trang 1-13 - 2022
Early screening of autism spectrum disorders (ASD) is a key area of research in healthcare. Currently artificial intelligence (AI)-driven approaches are used to improve the process of autism diagnosis using computer-aided diagnosis (CAD) systems. One of the issues related to autism diagnosis and screening data is the reliance of the predictions primarily on scores provided by medical screening met...... hiện toàn bộ
Efficacy of novel attention-based gated recurrent units transformer for depression detection using electroencephalogram signals
Health Information Science and Systems - Tập 11 - Trang 1-17 - 2022
Depression is a global challenge causing psychological and intellectual problems that require efficient diagnosis. Electroencephalogram (EEG) signals represent the functional state of the human brain and can help build an accurate and viable technique for the early prediction and treatment of depression. An attention-based gated recurrent units transformer (AttGRUT) time-series model is proposed t...... hiện toàn bộ
Improving patient engagement in self-measured blood pressure monitoring using a mobile health technology
Health Information Science and Systems - Tập 5 - Trang 1-9 - 2017
To understand usage patterns and clinical efficacy of Hello Heart, an mHealth technology application designed to facilitate patient engagement in managing hypertension. In this single-arm observational study, all subjects with ≥2 blood pressure (BP) recordings were included. The cohort was divided into subgroups by weeks passed since download that patients were still recording measurements. Change...... hiện toàn bộ
PredicT-ML: a tool for automating machine learning model building with big clinical data
Health Information Science and Systems - - 2016
ADHD-KG: a knowledge graph of attention deficit hyperactivity disorder
Health Information Science and Systems - Tập 11 - Trang 1-13 - 2023
Attention Deficit Hyperactivity Disorder (ADHD) is a widespread condition that affects human behaviour and can interfere with daily activities and relationships. Medication or medical information about ADHD can be found in several data sources on the Web. Such distribution of knowledge raises notable obstacles since researchers and clinicians must manually combine various sources to deeply explore...... hiện toàn bộ
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