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JMIR Medical Informatics|February 1, 2022
Reduction of Platelet Outdating and Shortage by Forecasting Demand With Statistical Learning and Deep Neural Networks: Modeling StudyMaximilian Schilling, Lennart Rickmann, Gabriele Hutschenreuter, et al.
JMIR Medical Informatics|February 22, 2022
Pandemic-Related Impairment in the Monitoring of Patients With Hypertension and Diabetes and the Development of a Digital Solution for the Community Health Worker: Quasiexperimental and Implementation StudyChristiane Correa Rodrigues Cimini, Junia Xavier Maia, Magda Carvalho Pires, et al.
JMIR Medical Informatics|February 10, 2022
Early Identification of Maternal Cardiovascular Risk Through Sourcing and Preparing Electronic Health Record Data: Machine Learning StudyNawar Shara, Kelley M Anderson, Noor Falah, et al.
JMIR Medical Informatics|February 14, 2022
State-of-the-art Dashboards on Clinical Indicator Data to Support Reflection on Practice: Scoping ReviewBernard Bucalon, Tim Shaw, Kerri Brown, et al.
JMIR Medical Informatics|June 15, 2019
Exploring the Impact of the Prescription Automatic Screening System in Health Care Services: Quasi-ExperimentYan Li, Xitong Guo, Carol Hsu, et al.
JMIR Medical Informatics|May 26, 2019
Toward Standardized Monitoring of Patients With Chronic Diseases in Primary Care Using Electronic Medical Records: Systematic ReviewLeandra Falck, Marco Zoller, Thomas Rosemann, et al.
JMIR Medical Informatics|April 20, 2022
Research and Application of Artificial Intelligence Based on Electronic Health Records of Patients With Cancer: Systematic ReviewXinyu Yang, Dongmei Mu, Hao Peng, et al.
JMIR Medical Informatics|April 20, 2022
Risk Prediction of Major Adverse Cardiovascular Events Occurrence Within 6 Months After Coronary Revascularization: Machine Learning StudyJinwan Wang, Shuai Wang, Mark Xuefang Zhu, et al.
JMIR Medical Informatics|April 20, 2022
Patient Recruitment System for Clinical Trials: Mixed Methods Study About Requirements at Ten University HospitalsKai Fitzer, Renate Haeuslschmid, Romina Blasini, et al.
JMIR Medical Informatics|April 6, 2022
A Traditional Chinese Medicine Syndrome Classification Model Based on Cross-Feature Generation by Convolution Neural Network: Model Development and ValidationZonghai Huang, Jiaqing Miao, Ju Chen, et al.
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