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Subphenotyping depression using machine learning and electronic health records.
Xu Z, Wang F, Adekkanattu P, Bose B, Vekaria V, Brandt P, Jiang G, Kiefer RC, Luo Y, Pacheco JA, Rasmussen LV, Xu J, Alexopoulos G, Pathak J. Xu Z, et al. Among authors: wang f. Learn Health Syst. 2020 Aug 3;4(4):e10241. doi: 10.1002/lrh2.10241. eCollection 2020 Oct. Learn Health Syst. 2020. PMID: 33083540 Free PMC article.
Design and validation of a FHIR-based EHR-driven phenotyping toolbox.
Brandt PS, Pacheco JA, Adekkanattu P, Sholle ET, Abedian S, Stone DJ, Knaack DM, Xu J, Xu Z, Peng Y, Benda NC, Wang F, Luo Y, Jiang G, Pathak J, Rasmussen LV. Brandt PS, et al. Among authors: wang f. J Am Med Inform Assoc. 2022 Aug 16;29(9):1449-1460. doi: 10.1093/jamia/ocac063. J Am Med Inform Assoc. 2022. PMID: 35799370 Free PMC article.
Developing a FHIR-based EHR phenotyping framework: A case study for identification of patients with obesity and multiple comorbidities from discharge summaries.
Hong N, Wen A, Stone DJ, Tsuji S, Kingsbury PR, Rasmussen LV, Pacheco JA, Adekkanattu P, Wang F, Luo Y, Pathak J, Liu H, Jiang G. Hong N, et al. Among authors: wang f. J Biomed Inform. 2019 Nov;99:103310. doi: 10.1016/j.jbi.2019.103310. Epub 2019 Oct 14. J Biomed Inform. 2019. PMID: 31622801 Free PMC article.
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