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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: jiang g. 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.
Prediction of left ventricular ejection fraction changes in heart failure patients using machine learning and electronic health records: a multi-site study.
Adekkanattu P, Rasmussen LV, Pacheco JA, Kabariti J, Stone DJ, Yu Y, Jiang G, Luo Y, Brandt PS, Xu Z, Vekaria V, Xu J, Wang F, Benda NC, Peng Y, Goyal P, Ahmad FS, Pathak J. Adekkanattu P, et al. Among authors: jiang g. Sci Rep. 2023 Jan 6;13(1):294. doi: 10.1038/s41598-023-27493-8. Sci Rep. 2023. PMID: 36609415 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: jiang g. 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.
7,461 results