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JMIR Medical Informatics|November 6, 2020
Development of Phenotyping Algorithms for the Identification of Organ Transplant Recipients: Cohort StudyLee Wheless, Laura Baker, LaVar Edwards, et al.
JMIR Medical Informatics|November 9, 2020
Developing a Predictive Model for Asthma-Related Hospital Encounters in Patients With Asthma in a Large, Integrated Health Care System: Secondary AnalysisGang Luo, Claudia L Nau, William W Crawford, et al.
JMIR Medical Informatics|November 4, 2020
Explainable Artificial Intelligence Recommendation System by Leveraging the Semantics of Adverse Childhood Experiences: Proof-of-Concept Prototype DevelopmentNariman Ammar, Arash Shaban-Nejad
JMIR Medical Informatics|October 28, 2021
Privacy-Preserving Anonymity for Periodical Releases of Spontaneous Adverse Drug Event Reporting Data: Algorithm Development and ValidationJie-Teng Wang, Wen-Yang Lin
JMIR Medical Informatics|July 19, 2022
Extraction of Explicit and Implicit Cause-Effect Relationships in Patient-Reported Diabetes-Related Tweets From 2017 to 2021: Deep Learning ApproachAdrian Ahne, Vivek Khetan, Xavier Tannier, et al.
JMIR Medical Informatics|March 16, 2022
Electronic Health Record-Triggered Research Infrastructure Combining Real-world Electronic Health Record Data and Patient-Reported Outcomes to Detect Benefits, Risks, and Impact of Medication: Development StudyKarin Hek, Leàn Rolfes, Eugène P van Puijenbroek, et al.
JMIR Medical Informatics|January 21, 2015
Factors associated with adoption of health information technology: a conceptual model based on a systematic reviewClemens Scott Kruse, Jonathan DeShazo, Forest Kim, et al.
JMIR Medical Informatics|January 21, 2015
A web-based data-querying tool based on ontology-driven methodology and flowchart-based modelXiao-Ou Ping, Yufang Chung, Yi-Ju Tseng, et al.
JMIR Medical Informatics|January 21, 2015
Making big data useful for health care: a summary of the inaugural mit critical data conferenceOmar Badawi, Thomas Brennan, Leo Anthony Celi, et al.
JMIR Medical Informatics|January 21, 2015
Automatically Recognizing Medication and Adverse Event Information From Food and Drug Administration's Adverse Event Reporting System NarrativesBalaji Polepalli Ramesh, Steven M Belknap, Zuofeng Li, et al.
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