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A case study evaluating the portability of an executable computable phenotype algorithm across multiple institutions and electronic health record environments.
Pacheco JA, Rasmussen LV, Kiefer RC, Campion TR, Speltz P, Carroll RJ, Stallings SC, Mo H, Ahuja M, Jiang G, LaRose ER, Peissig PL, Shang N, Benoit B, Gainer VS, Borthwick K, Jackson KL, Sharma A, Wu AY, Kho AN, Roden DM, Pathak J, Denny JC, Thompson WK. Pacheco JA, et al. Among authors: larose er. J Am Med Inform Assoc. 2018 Nov 1;25(11):1540-1546. doi: 10.1093/jamia/ocy101. J Am Med Inform Assoc. 2018. PMID: 30124903 Free PMC article.
Evaluating electronic health record data sources and algorithmic approaches to identify hypertensive individuals.
Teixeira PL, Wei WQ, Cronin RM, Mo H, VanHouten JP, Carroll RJ, LaRose E, Bastarache LA, Rosenbloom ST, Edwards TL, Roden DM, Lasko TA, Dart RA, Nikolai AM, Peissig PL, Denny JC. Teixeira PL, et al. J Am Med Inform Assoc. 2017 Jan;24(1):162-171. doi: 10.1093/jamia/ocw071. Epub 2016 Aug 7. J Am Med Inform Assoc. 2017. PMID: 27497800 Free PMC article.
Machine learning for phenotyping opioid overdose events.
Badger J, LaRose E, Mayer J, Bashiri F, Page D, Peissig P. Badger J, et al. J Biomed Inform. 2019 Jun;94:103185. doi: 10.1016/j.jbi.2019.103185. Epub 2019 Apr 25. J Biomed Inform. 2019. PMID: 31028874 Free PMC article.