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JMIR Medical Informatics|June 29, 2021
A Word Pair Dataset for Semantic Similarity and Relatedness in Korean Medical Vocabulary: Reference Development and ValidationYunjin Yum, Jeong Moon Lee, Moon Joung Jang, et al.
JMIR Medical Informatics|June 22, 2021
Enhancing Obstructive Sleep Apnea Diagnosis With Screening Through Disease Phenotypes: Algorithm Development and ValidationDaniela Ferreira-Santos, Pedro Pereira Rodrigues
JMIR Medical Informatics|May 10, 2022
Predicting Postoperative Mortality With Deep Neural Networks and Natural Language Processing: Model Development and ValidationPei-Fu Chen, Lichin Chen, Yow-Kuan Lin, et al.
JMIR Medical Informatics|May 11, 2022
Electronic Medical Record-Based Machine Learning Approach to Predict the Risk of 30-Day Adverse Cardiac Events After Invasive Coronary Treatment: Machine Learning Model Development and ValidationOsung Kwon, Wonjun Na, Heejun Kang, et al.
JMIR Medical Informatics|June 2, 2022
Understanding the Relationship Between Mood Symptoms and Mobile App Engagement Among Patients With Breast Cancer Using Machine Learning: Case StudyAnna N Baglione, Lihua Cai, Aram Bahrini, et al.
JMIR Medical Informatics|December 19, 2018
Clinical Named Entity Recognition From Chinese Electronic Health Records via Machine Learning MethodsYu Zhang, Xuwen Wang, Zhen Hou, et al.
JMIR Medical Informatics|March 18, 2018
Effect of Seasonal Variation on Clinical Outcome in Patients with Chronic Conditions: Analysis of the Commonwealth Scientific and Industrial Research Organization (CSIRO) National Telehealth TrialAhmadreza Argha, Andrey Savkin, Siaw-Teng Liaw, et al.
JMIR Medical Informatics|May 20, 2022
Domain-Specific Common Data Elements for Rare Disease Registration: Conceptual Approach of a European Joint Initiative Toward Semantic Interoperability in Rare Disease ResearchHaitham Abaza, Dennis Kadioglu, Simona Martin, et al.
JMIR Medical Informatics|May 20, 2022
Integrated Health Record Viewers and Reduction in Duplicate Medical Imaging: Retrospective Observational AnalysisYingzhe Yuan, Megan Price, David F Schmidt, et al.
JMIR Medical Informatics|June 15, 2022
Identifying the Risk of Sepsis in Patients With Cancer Using Digital Health Care Records: Machine Learning-Based ApproachDonghun Yang, Jimin Kim, Junsang Yoo, et al.
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