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JMIR Medical Informatics|November 8, 2022
Developing an Automated Assessment of In-session Patient Activation for Psychological Therapy: Codevelopment ApproachSam Malins, Grazziela Figueredo, Tahseen Jilani, et al.
JMIR Medical Informatics|August 15, 2022
Exploiting Intersentence Information for Better Question-Driven Abstractive Summarization: Algorithm Development and ValidationXin Wang, Jian Wang, Bo Xu, et al.
JMIR Medical Informatics|September 1, 2021
Predicting Health Material Accessibility: Development of Machine Learning AlgorithmsMeng Ji, Yanmeng Liu, Tianyong Hao
JMIR Medical Informatics|June 20, 2020
Identification of High-Order Single-Nucleotide Polymorphism Barcodes in Breast Cancer Using a Hybrid Taguchi-Genetic Algorithm: Case-Control StudyLi-Yeh Chuang, Cheng-San Yang, Huai-Shuo Yang, et al.
JMIR Medical Informatics|August 4, 2022
Correction: The Science of Learning Health Systems: Scoping Review of Empirical ResearchLouise A Ellis, Mitchell Sarkies, Kate Churruca, et al.
JMIR Medical Informatics|August 9, 2022
Addendum: Building a Shared, Scalable, and Sustainable Source for the Problem-Oriented Medical Record: Developmental StudyChristophe Gaudet-Blavignac, Andrea Rudaz, Christian Lovis
JMIR Medical Informatics|March 2, 2023
Monitoring the Implementation of Tobacco Cessation Support Tools: Using Novel Electronic Health Record Activity MetricsJinying Chen, Sarah L Cutrona, Ajay Dharod, et al.
JMIR Medical Informatics|May 5, 2021
Predicting Intensive Care Unit Length of Stay and Mortality Using Patient Vital Signs: Machine Learning Model Development and ValidationKhalid Alghatani, Nariman Ammar, Abdelmounaam Rezgui, et al.
JMIR Medical Informatics|May 28, 2020
Document-Level Biomedical Relation Extraction Using Graph Convolutional Network and Multihead Attention: Algorithm Development and ValidationJian Wang, Xiaoyu Chen, Yu Zhang, et al.
JMIR Medical Informatics|May 28, 2020
Extraction of Information Related to Drug Safety Surveillance From Electronic Health Record Notes: Joint Modeling of Entities and Relations Using Knowledge-Aware Neural Attentive ModelsBharath Dandala, Venkata Joopudi, Ching-Huei Tsou, et al.
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