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JMIR Medical Informatics|July 28, 2020
Temporal Expression Classification and Normalization From Chinese Narrative Clinical Texts: Pattern Learning ApproachXiaoyi Pan, Boyu Chen, Heng Weng, et al.
JMIR Medical Informatics|July 29, 2020
Predicting the Development of Type 2 Diabetes in a Large Australian Cohort Using Machine-Learning Techniques: Longitudinal Survey StudyLei Zhang, Xianwen Shang, Subhashaan Sreedharan, et al.
JMIR Medical Informatics|August 8, 2020
Semantic Deep Learning: Prior Knowledge and a Type of Four-Term Embedding Analogy to Acquire Treatments for Well-Known DiseasesMercedes Arguello Casteleiro, Julio Des Diz, Nava Maroto, et al.
JMIR Medical Informatics|April 1, 2021
Mortality Prediction of Patients With Cardiovascular Disease Using Medical Claims Data Under Artificial Intelligence Architectures: Validation StudyLinh Tran, Lianhua Chi, Alessio Bonti, et al.
JMIR Medical Informatics|April 14, 2021
Anomaly Detection Algorithm for Real-World Data and Evidence in Clinical Research: Implementation, Evaluation, and Validation StudyVendula Churová, Roman Vyškovský, Kateřina Maršálová, et al.
JMIR Medical Informatics|July 31, 2020
Identifying and Predicting Intentional Self-Harm in Electronic Health Record Clinical Notes: Deep Learning ApproachJihad S Obeid, Jennifer Dahne, Sean Christensen, et al.
JMIR Medical Informatics|July 15, 2020
Decompensation in Critical Care: Early Prediction of Acute Heart Failure OnsetPatrick Essay, Baran Balkan, Vignesh Subbian
JMIR Medical Informatics|July 17, 2020
A Retrospective Analysis of Provider-to-Patient Secure Messages: How Much Are They Increasing, Who Is Doing the Work, and Is the Work Happening After Hours?Frederick North, Kristine E Luhman, Eric A Mallmann, et al.
JMIR Medical Informatics|July 17, 2020
Identifying the Medical Lethality of Suicide Attempts Using Network Analysis and Deep Learning: Nationwide StudyBora Kim, Younghoon Kim, C Hyung Keun Park, et al.
JMIR Medical Informatics|August 4, 2020
Improving Diagnostic Classification of Stillbirths and Neonatal Deaths Using ICD-PM (International Classification of Diseases for Perinatal Mortality) Codes: Validation StudyHiu Mei Luk, Emma Allanson, Wai-Kit Ming, et al.
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