machine learning

FENet: A Frequency Extraction Network for Obstructive Sleep Apnea Detection
Author(s)3: Guanhua Ye, Hongzhi Yin, Tong Chen, Hongxu Chen, Lizhen Cui, Xiangliang Zhang
FENet: A Frequency Extraction Network for Obstructive Sleep Apnea Detection 1270 637 Journal of Biomedical and Health Informatics (JBHI)

Obstructive Sleep Apnea (OSA) is a highly prevalent but inconspicuous disease that seriously jeopardizes the health of human beings. Polysomnography (PSG), the gold standard of detecting OSA, requires multiple specialized…

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AI in Medical Imaging Informatics: Current Challenges and Future Directions
Author(s)3: Andreas S. Panayides, Amir Amini, Nenad Filipovic, Ashish Sharma, Sotirios Tsaftaris, Alistair Young, David J. Foran, Nhan Do, Spyretta Golemati, Tahsin Kurc, Kun Huang, Konstantina S. Nikita, Ben P. Veasey, Michalis Zervakis, Joel H. Saltz, Constantinos S. Pattichis
AI in Medical Imaging Informatics: Current Challenges and Future Directions 1269 639 Journal of Biomedical and Health Informatics (JBHI)

This paper reviews state-of-the-art research solutions across the spectrum of medical imaging informatics, discusses clinical translation, and provides future directions for advancing clinical practice. More specifically, it summarizes advances in…

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Predicting Quality of Overnight Glycaemic Control in Type 1 Diabetes using Binary Classifiers
Author(s)3: Amparo Guemes, Giacomo Cappon, Bernard Hernandez, Monika Reddy, Nick Oliver, Pantelis Georgiou, Pau Herrero
Predicting Quality of Overnight Glycaemic Control in Type 1 Diabetes using Binary Classifiers 1267 955 Journal of Biomedical and Health Informatics (JBHI)
ype 1 diabetes management, maintaining nocturnal blood glucose within target range can be challenging. Although semi-automatic systems to modulate insulin pump delivery, such as low-glucose insulin suspension and the artificial pancreas, are starting to become a reality, their elevated cost and performance below user expectations is hindering their adoption. read more

Analyzing Activity Behavior and Movement in a Naturalistic Environment Using Smart Home Techniques
Author(s)3: Diane J. Cook, Maureen Schmitter-Edgecombe, Prafulla Dawadi
Analyzing Activity Behavior and Movement in a Naturalistic Environment Using Smart Home Techniques 170 177 Journal of Biomedical and Health Informatics (JBHI)

One of the many services that intelligent systems can provide is the ability to analyze the impact of different medical conditions on daily behavior. This study uses smart homes and…

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