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JMIR Medical Informatics|May 9, 2019
Natural Language Processing for the Identification of Silent Brain Infarcts From Neuroimaging ReportsSunyang Fu, Lester Y Leung, Yanshan Wang, et al.
JMIR Medical Informatics|May 9, 2019
Natural Language Processing of Clinical Notes on Chronic Diseases: Systematic ReviewSeyedmostafa Sheikhalishahi, Riccardo Miotto, Joel T Dudley, et al.
JMIR Medical Informatics|March 31, 2022
Foundations for Meaningful Consent in Canada's Digital Health Ecosystem: Retrospective StudyNelson Shen, Iman Kassam, Haoyu Zhao, et al.
JMIR Medical Informatics|March 16, 2022
Using a Convolutional Neural Network and Convolutional Long Short-term Memory to Automatically Detect Aneurysms on 2D Digital Subtraction Angiography Images: Framework Development and ValidationJunHua Liao, LunXin Liu, HaiHan Duan, et al.
JMIR Medical Informatics|March 30, 2022
A Comparison of Different Modeling Techniques in Predicting Mortality With the Tilburg Frailty Indicator: Longitudinal StudyTjeerd van der Ploeg, Robbert Gobbens
JMIR Medical Informatics|April 18, 2022
Natural Language Processing for Assessing Quality Indicators in Free-Text Colonoscopy and Pathology Reports: Development and Usability StudyJung Ho Bae, Hyun Wook Han, Sun Young Yang, et al.
JMIR Medical Informatics|January 27, 2021
Family History Extraction From Synthetic Clinical Narratives Using Natural Language Processing: Overview and Evaluation of a Challenge Data Set and Solutions for the 2019 National NLP Clinical Challenges (n2c2)/Open Health Natural Language Processing (OHNLP) CompetitionFeichen Shen, Sijia Liu, Sunyang Fu, et al.
JMIR Medical Informatics|February 1, 2021
Electronic Medical Record-Based Case Phenotyping for the Charlson Conditions: Scoping ReviewSeungwon Lee, Chelsea Doktorchik, Elliot Asher Martin, et al.
JMIR Medical Informatics|January 15, 2021
Driving Digital Transformation During a Pandemic: Case Study of Virtual Collaboration in a German HospitalNicholas R J Frick, Henriette L Möllmann, Milad Mirbabaie, et al.
JMIR Medical Informatics|January 15, 2021
Classification of the Disposition of Patients Hospitalized with COVID-19: Reading Discharge Summaries Using Natural Language ProcessingMarta Fernandes, Haoqi Sun, Aayushee Jain, et al.
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