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JMIR Medical Informatics|April 25, 2022
Using Natural Language Processing and Machine Learning to Preoperatively Predict Lymph Node Metastasis for Non-Small Cell Lung Cancer With Electronic Medical Records: Development and Validation StudyDanqing Hu, Shaolei Li, Huanyao Zhang, et al.
JMIR Medical Informatics|April 27, 2022
Construction of a Linked Data Set of COVID-19 Knowledge Graphs: Development and ApplicationsHaofen Wang, Huifang Du, Guilin Qi, et al.
JMIR Medical Informatics|March 21, 2022
Investigating Health Context Using a Spatial Data Analytical Tool: Development of a Geospatial Big Data EcosystemTimothy Haithcoat, Danlu Liu, Tiffany Young, et al.
JMIR Medical Informatics|April 20, 2022
Predicting COVID-19 Symptoms From Free Text in Medical Records Using Artificial Intelligence: Feasibility StudyJosefien Van Olmen, Jens Van Nooten, Hilde Philips, et al.
JMIR Medical Informatics|September 29, 2018
Extraction and Standardization of Patient Complaints from Electronic Medication Histories for Pharmacovigilance: Natural Language Processing Analysis in JapaneseMisa Usui, Eiji Aramaki, Tomohide Iwao, et al.
JMIR Medical Informatics|April 18, 2019
A Computer Application to Predict Adverse Events in the Short-Term Evolution of Patients With Exacerbation of Chronic Obstructive Pulmonary DiseaseInmaculada Arostegui, María José Legarreta, Irantzu Barrio, et al.
JMIR Medical Informatics|November 1, 2021
Visualizing Knowledge Evolution Trends and Research Hotspots of Personal Health Data Research: Bibliometric AnalysisJianxia Gong, Vikrant Sihag, Qingxia Kong, et al.
JMIR Medical Informatics|October 1, 2021
Global Research on Coronaviruses: Metadata-Based Analysis for Public Health PoliciesThierry Warin
JMIR Medical Informatics|July 5, 2019
A Web-Based Clinical System for Cohort Surveillance of Specific Clinical Effectiveness and Safety Outcomes: A Cohort Study of Non-Vitamin K Antagonist Oral Anticoagulants and WarfarinFong-Ci Lin, Shih-Tsung Huang, Rung Ji Shang, et al.
JMIR Medical Informatics|October 13, 2021
Building a Shared, Scalable, and Sustainable Source for the Problem-Oriented Medical Record: Developmental StudyChristophe Gaudet-Blavignac, Andrea Rudaz, Christian Lovis
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