AIMC Journal:
IEEE journal of biomedical and health informatics

Showing 861 to 870 of 1118 articles

Efficient Activity Recognition in Smart Homes Using Delayed Fuzzy Temporal Windows on Binary Sensors.

IEEE journal of biomedical and health informatics May 22, 2019
Human activity recognition has become an active research field over the past few years due to its wide application in various fields such as health-care, smart home monitoring, and surveillance. Existing approaches for activity recognition in smart h...
Humans Neural Networks, Computer Fuzzy Logic Human Activities
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A Precision Environment-Wide Association Study of Hypertension via Supervised Cadre Models.

IEEE journal of biomedical and health informatics May 20, 2019
We consider the problem in precision health of grouping people into subpopulations based on their degree of vulnerability to a risk factor. These subpopulations cannot be discovered with traditional clustering techniques because their quality is eval...
Computational Biology Nutrition Surveys Hypertension Humans Risk Factors Big Data Knowledge Discovery Models, Statistical Supervised Machine Learning Environment
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Evaluating and Enhancing the Generalization Performance of Machine Learning Models for Physical Activity Intensity Prediction From Raw Acceleration Data.

IEEE journal of biomedical and health informatics May 20, 2019
PURPOSE: To evaluate and enhance the generalization performance of machine learning physical activity intensity prediction models developed with raw acceleration data on populations monitored by different activity monitors.
Humans Neural Networks, Computer Models, Statistical Adult Pattern Recognition, Automated Exercise Accelerometry Machine Learning Monitoring, Physiologic Human Activities Databases, Factual
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Using a Multi-Task Recurrent Neural Network With Attention Mechanisms to Predict Hospital Mortality of Patients.

IEEE journal of biomedical and health informatics May 13, 2019
Estimating hospital mortality of patients is important in assisting clinicians to make decisions and hospital providers to allocate resources. This paper proposed a multi-task recurrent neural network with attention mechanisms to predict patients' ho...
Male Middle Aged Humans Hospital Mortality Electronic Health Records Neural Networks, Computer Female Aged
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A Hybrid Global-Local Representation CNN Model for Automatic Cataract Grading.

IEEE journal of biomedical and health informatics May 3, 2019
Cataract is one of the most serious eye diseases leading to blindness. Early detection and treatment can reduce the rate of blindness in cataract patients. However, the professional knowledge of ophthalmologists is necessary for the clinical cataract...
Deep Learning Cataract Automation Humans Neural Networks, Computer Algorithms
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Giving Voice to Vulnerable Children: Machine Learning Analysis of Speech Detects Anxiety and Depression in Early Childhood.

IEEE journal of biomedical and health informatics Apr 26, 2019
Childhood anxiety and depression often go undiagnosed. If left untreated these conditions, collectively known as internalizing disorders, are associated with long-term negative outcomes including substance abuse and increased risk for suicide. This p...
Speech Female Depression Male Child Humans Child, Preschool Anxiety Signal Processing, Computer-Assisted Machine Learning Psychopathology
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Deep Residual Inception Encoder-Decoder Network for Medical Imaging Synthesis.

IEEE journal of biomedical and health informatics Apr 22, 2019
Image synthesis is a novel solution in precision medicine for scenarios where important medical imaging is not otherwise available. The convolutional neural network (CNN) is an ideal model for this task because of its powerful learning capabilities t...
Databases, Factual Deep Learning Image Processing, Computer-Assisted Humans Algorithms Mammography Neuroimaging
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TSE-CNN: A Two-Stage End-to-End CNN for Human Activity Recognition.

IEEE journal of biomedical and health informatics Apr 9, 2019
Human activity recognition has been widely used in healthcare applications such as elderly monitoring, exercise supervision, and rehabilitation monitoring. Compared with other approaches, sensor-based wearable human activity recognition is less affec...
Pattern Recognition, Automated Accelerometry Movement Human Activities Middle Aged Wearable Electronic Devices Monitoring, Ambulatory Neural Networks, Computer Adult Female Male Young Adult Humans
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A Supervised Approach to Robust Photoplethysmography Quality Assessment.

IEEE journal of biomedical and health informatics Apr 3, 2019
Early detection of Atrial Fibrillation (AFib) is crucial to prevent stroke recurrence. New tools for monitoring cardiac rhythm are important for risk stratification and stroke prevention. As many of new approaches to long-term AFib detection are now ...
Oximetry Humans Algorithms Photoplethysmography Stroke Adult Aged Support Vector Machine Supervised Machine Learning Middle Aged Signal Processing, Computer-Assisted Aged, 80 and over Atrial Fibrillation Wearable Electronic Devices Young Adult
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Convolutional Recurrent Neural Networks for Glucose Prediction.

IEEE journal of biomedical and health informatics Apr 1, 2019
Control of blood glucose is essential for diabetes management. Current digital therapeutic approaches for subjects with type 1 diabetes mellitus such as the artificial pancreas and insulin bolus calculators leverage machine learning techniques for pr...
Insulin Diabetes Mellitus, Type 1 Neural Networks, Computer Deep Learning Blood Glucose Humans
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