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Derivation and Validation of a Clinical Risk Assessment Model for Cancer-Associated Thrombosis in Two Unique US Health Care Systems.
Li A, La J, May SB, Guffey D, da Costa WL Jr, Amos CI, Bandyo R, Milner EM, Kurian KM, Chen DCR, Do NV, Granada C, Riaz N, Brophy MT, Chitalia V, Gaziano JM, Garcia DA, Carrier M, Flowers CR, Zakai NA, Fillmore NR. Li A, et al. Among authors: brophy mt. J Clin Oncol. 2023 Jun 1;41(16):2926-2938. doi: 10.1200/JCO.22.01542. Epub 2023 Jan 10. J Clin Oncol. 2023. PMID: 36626707 Free PMC article.
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: brophy mt. Stud Health Technol Inform. 2019 Aug 21;264:1453. doi: 10.3233/SHTI190480. Stud Health Technol Inform. 2019. PMID: 31438177
Black Patients Experience Highest Rates of Cancer-associated Venous Thromboembolism.
Addo-Tabiri NO, Chudasama R, Vasudeva R, Leiva O, Garcia B, Ravid JD, Bunze T, Rosen L, Belghasem M, Francis J, Brophy M, Johnson B, Ferguson R, Weinberg J, Chitalia VC. Addo-Tabiri NO, et al. Am J Clin Oncol. 2020 Feb;43(2):94-100. doi: 10.1097/COC.0000000000000639. Am J Clin Oncol. 2020. PMID: 31809329 Free PMC article.
115 results