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IEEE Journal of Biomedical and Health Informatics|August 5, 2020
Blood Pressure States Transition Inference Based on Multi-State Markov ModelJingmei Yang, Feng Liu, Boyu Wang, et al.
IEEE Journal of Biomedical and Health Informatics|August 7, 2020
Basal Glucose Control in Type 1 Diabetes Using Deep Reinforcement Learning: An In Silico ValidationTaiyu Zhu, Kezhi Li, Pau Herrero, et al.
IEEE Journal of Biomedical and Health Informatics|August 26, 2020
A New Dataset for Facial Motion Analysis in Individuals With Neurological DisordersAndrea Bandini, Sia Rezaei, Diego L Guarin, et al.
IEEE Journal of Biomedical and Health Informatics|April 14, 2023
Ambient Monitoring of Gait and Machine Learning Models for Dynamic and Short-Term Falls Risk Assessment in People With DementiaVida Adeli, Navid Korhani, Andrea Sabo, et al.
IEEE Journal of Biomedical and Health Informatics|April 14, 2023
SLEEP-SEE-THROUGH: Explainable Deep Learning for Sleep Event Detection and Quantification From Wearable SomnographyMatteo Rossi, Davide Sala, Dario Bovio, et al.
IEEE Journal of Biomedical and Health Informatics|April 14, 2023
Leveraging Unlabelled Data in Multiple-Instance Learning Problems for Improved Detection of Parkinsonian Tremor in Free-Living ConditionsAlexandros Papadopoulos, Anastasios Delopoulos
IEEE Journal of Biomedical and Health Informatics|April 5, 2023
Predicting Drug-Target Affinity by Learning Protein Knowledge From Biological NetworksWenjian Ma, Shugang Zhang, Zhen Li, et al.
IEEE Journal of Biomedical and Health Informatics|April 5, 2023
Multi-View Feature Transformation Based SVM+ for Computer-Aided Diagnosis of Liver Cancers With Ultrasound ImagesHuili Zhang, Lehang Guo, Jun Wang, et al.
IEEE Journal of Biomedical and Health Informatics|April 5, 2023
DMNet: A Personalized Risk Assessment Framework for Elderly People With Type 2 DiabetesZiyue Yu, Wuman Luo, Rita Tse, et al.
IEEE Journal of Biomedical and Health Informatics|April 5, 2023
Prediction of New-Onset Diabetes After Pancreatectomy With Subspace Clustering Based Multi-View Feature SelectionPeijun Hu, Xiang Li, Na Lu, et al.
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