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Digital Health|April 30, 2024
Explainable machine learning for predicting conversion to neurological disease: Results from 52,939 medical recordsChristina Felix, Joshua D Johnston, Kelsey Owen, et al.JAMIA Open|July 10, 2026
Development and validation of a near-comprehensive RxNorm valueset of opioid medicationsMichael Wasz, Prabhu R V Shankar, Elizabeth Sprouse, et al.Journal of the American Medical Informatics Association : JAMIA|January 13, 2010
Use of population health data to refine diagnostic decision-making for pertussisAndrew M Fine, Ben Y Reis, Lise E Nigrovic, et al.Journal of the American Medical Informatics Association : JAMIA|June 16, 2016
Creating a scalable clinical pharmacogenomics service with automated interpretation and medical record result integration - experience from a pediatric tertiary care facilityShannon F Manzi, Vincent A Fusaro, Laura Chadwick, et al.Journal of the American Heart Association|September 29, 2020
Claims-Based Algorithms for Identifying Patients With Pulmonary Hypertension: A Comparison of Decision Rules and Machine-Learning ApproachesMei-Sing Ong, Jeffrey G Klann, Kueiyu Joshua Lin, et al.Archives of Pediatrics & Adolescent Medicine|January 5, 2011
Integrating spatial epidemiology into a decision model for evaluation of facial palsy in childrenAndrew M Fine, John S Brownstein, Lise E Nigrovic, et al.Journal of Clinical Neurophysiology : Official Publication of the American Electroencephalographic Society|May 18, 2022
Measuring Real-Time Medication Effects From ElectroencephalographyAarti Sathyanarayana, Rima El Atrache, Michele Jackson, et al.Plos One|December 13, 2018
Computerization and the future of primary care: A survey of general practitioners in the UKCharlotte Blease, Michael H Bernstein, Jens Gaab, et al.Journal of the American Medical Informatics Association : JAMIA|June 9, 2016
SMART-on-FHIR implemented over i2b2Kavishwar B Wagholikar, Joshua C Mandel, Jeffery G Klann, et al.Human Genomics|December 9, 2022
Comprehensive characterization of putative genetic influences on plasma metabolome in a pediatric cohortIn-Hee Lee, Matthew Ryan Smith, Azam Yazdani, et al.Pageof 53