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Derivation and validation of a machine learning risk score using biomarker and electronic patient data to predict progression of diabetic kidney disease.
Chan L, Nadkarni GN, Fleming F, McCullough JR, Connolly P, Mosoyan G, El Salem F, Kattan MW, Vassalotti JA, Murphy B, Donovan MJ, Coca SG, Damrauer SM. Chan L, et al. Among authors: fleming f. Diabetologia. 2021 Jul;64(7):1504-1515. doi: 10.1007/s00125-021-05444-0. Epub 2021 Apr 2. Diabetologia. 2021. PMID: 33797560 Free PMC article.
Initial Validation of a Machine Learning-Derived Prognostic Test (KidneyIntelX) Integrating Biomarkers and Electronic Health Record Data To Predict Longitudinal Kidney Outcomes.
Chauhan K, Nadkarni GN, Fleming F, McCullough J, He CJ, Quackenbush J, Murphy B, Donovan MJ, Coca SG, Bonventre JV. Chauhan K, et al. Among authors: fleming f. Kidney360. 2020 Jun 30;1(8):731-739. doi: 10.34067/KID.0002252020. eCollection 2020 Aug 27. Kidney360. 2020. PMID: 35372952 Free PMC article.
Real World Evidence and Clinical Utility of KidneyIntelX on Patients With Early-Stage Diabetic Kidney Disease: Interim Results on Decision Impact and Outcomes.
Tokita J, Vega A, Sinfield C, Naik N, Rathi S, Martin S, Wang S, Amoruso L, Zabetian A, Coca SG, Nadkarni GN, Fleming F, Donovan MJ, Fields R. Tokita J, et al. Among authors: fleming f. J Prim Care Community Health. 2022 Jan-Dec;13:21501319221138196. doi: 10.1177/21501319221138196. J Prim Care Community Health. 2022. PMID: 36404761 Free PMC article.
A Real-World Precision Medicine Program Including the KidneyIntelX Test Effectively Changes Management Decisions and Outcomes for Patients With Early-Stage Diabetic Kidney Disease.
Tokita J, Lam D, Vega A, Wang S, Amoruso L, Muller T, Naik N, Rathi S, Martin S, Zabetian A, Liu C, Sinfield C, McNicholas T, Fleming F, Coca SG, Nadkarni GN, Tun R, Kattan M, Donovan MJ, Rahim AK. Tokita J, et al. Among authors: fleming f. J Prim Care Community Health. 2024 Jan-Dec;15:21501319231223437. doi: 10.1177/21501319231223437. J Prim Care Community Health. 2024. PMID: 38185870 Free PMC article.
Female genital schistosomiasis burden and risk factors in two endemic areas in Malawi nested in the Morbidity Operational Research for Bilharziasis Implementation Decisions (MORBID) cross-sectional study.
Lamberti O, Kayuni S, Kumwenda D, Ngwira B, Singh V, Moktali V, Dhanani N, Wessels E, Van Lieshout L, Fleming FM, Mzilahowa T, Bustinduy AL. Lamberti O, et al. Among authors: fleming fm. PLoS Negl Trop Dis. 2024 May 8;18(5):e0012102. doi: 10.1371/journal.pntd.0012102. eCollection 2024 May. PLoS Negl Trop Dis. 2024. PMID: 38718065 Free PMC article.
392 results