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A novel method of adverse event detection can accurately identify venous thromboembolisms (VTEs) from narrative electronic health record data.

, , , , and . JAMIA, 22 (1): 155-165 (2015)

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Multidimensional and Longitudinal Indicators in Population Health., , , , and . AAAI Workshops, volume WS-17 of AAAI Workshops, AAAI Press, (2017)Modeling disease progression in longitudinal EHR data using continuous-time hidden Markov models., , , , and . CoRR, (2018)An efficient methodology to solve the K-terminal network reliability problem., , , and . RAIT, page 25-28. IEEE, (2016)AI for Global Disease Surveillance., , , , , , , , , and 2 other author(s). IEEE Intelligent Systems, 24 (6): 66-82 (2009)Assessing the Predictability of Hospital Readmission Using Machine Learning., , , , and . IAAI, AAAI, (2013)978-1-57735-615-8.Development of a Method for Extracting Structured Dose Information from Free-Text Electronic Prescriptions., , , , , , and . MedInfo, volume 264 of Studies in Health Technology and Informatics, page 1568-1569. IOS Press, (2019)A novel method of adverse event detection can accurately identify venous thromboembolisms (VTEs) from narrative electronic health record data., , , , and . JAMIA, 22 (1): 155-165 (2015)Ambulatory e-Prescribing: Evaluating a Novel Surveillance Data Source., , and . BioSurveillance, volume 4506 of Lecture Notes in Computer Science, page 190-195. Springer, (2007)Towards probabilistic decision support in public health practice: Predicting recent transmission of tuberculosis from patient attributes., , , , , and . J. Biomed. Informatics, (2015)Pharmacy drug dispensing after physician discontinuation (cancel) orders., , , , , , and . AMIA, AMIA, (2015)