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Machine Learning Methods to Predict Lung Cancer Survival Using the Veterans Affairs Research Precision Oncology Data Commons.
Do NV, Ramos JC, Fillmore NR, Grossman RL, Fitzsimons M, Elbers DC, Meng F, Johnson BR, Ajjarapu S, DeDomenico CL, Pierce-Murray KE, Hall RB, Do AF, Gaynor K, Elkin PL, Brophy MT. Do NV, et al. Among authors: do af. Stud Health Technol Inform. 2019 Aug 21;264:1453. doi: 10.3233/SHTI190480. Stud Health Technol Inform. 2019. PMID: 31438177
Discovery of 318 new risk loci for type 2 diabetes and related vascular outcomes among 1.4 million participants in a multi-ancestry meta-analysis.
Vujkovic M, Keaton JM, Lynch JA, Miller DR, Zhou J, Tcheandjieu C, Huffman JE, Assimes TL, Lorenz K, Zhu X, Hilliard AT, Judy RL, Huang J, Lee KM, Klarin D, Pyarajan S, Danesh J, Melander O, Rasheed A, Mallick NH, Hameed S, Qureshi IH, Afzal MN, Malik U, Jalal A, Abbas S, Sheng X, Gao L, Kaestner KH, Susztak K, Sun YV, DuVall SL, Cho K, Lee JS, Gaziano JM, Phillips LS, Meigs JB, Reaven PD, Wilson PW, Edwards TL, Rader DJ, Damrauer SM, O'Donnell CJ, Tsao PS; HPAP Consortium; Regeneron Genetics Center; VA Million Veteran Program; Chang KM, Voight BF, Saleheen D. Vujkovic M, et al. Nat Genet. 2020 Jul;52(7):680-691. doi: 10.1038/s41588-020-0637-y. Epub 2020 Jun 15. Nat Genet. 2020. PMID: 32541925 Free PMC article.
An application to support COVID-19 occupational health and patient tracking at a Veterans Affairs medical center.
Fillmore NR, Elbers DC, La J, Feldman TC, Sung FC, Hall RB, Nguyen V, Link N, Zwolinski R, Dipietro S, Miller SJ, Aleksanyan A, Goryachev SD, Corcoran P, Bergstrom SJ, Parenteau MA, Sprague RS, Thornton DJ, Driver JA, Strymish JM, Evans S, Colonna B, Brophy MT, Do NV. Fillmore NR, et al. Among authors: do nv. J Am Med Inform Assoc. 2020 Nov 1;27(11):1716-1720. doi: 10.1093/jamia/ocaa162. J Am Med Inform Assoc. 2020. PMID: 33067628 Free PMC article.
86 results