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TRIPOD+AI statement: updated guidance for reporting clinical prediction models that use regression or machine learning methods.
Collins GS, Moons KGM, Dhiman P, Riley RD, Beam AL, Van Calster B, Ghassemi M, Liu X, Reitsma JB, van Smeden M, Boulesteix AL, Camaradou JC, Celi LA, Denaxas S, Denniston AK, Glocker B, Golub RM, Harvey H, Heinze G, Hoffman MM, Kengne AP, Lam E, Lee N, Loder EW, Maier-Hein L, Mateen BA, McCradden MD, Oakden-Rayner L, Ordish J, Parnell R, Rose S, Singh K, Wynants L, Logullo P. Collins GS, et al. Among authors: kengne ap. BMJ. 2024 Apr 16;385:e078378. doi: 10.1136/bmj-2023-078378. BMJ. 2024. PMID: 38626948 Free PMC article.
Non-invasive risk scores for prediction of type 2 diabetes (EPIC-InterAct): a validation of existing models.
Kengne AP, Beulens JW, Peelen LM, Moons KG, van der Schouw YT, Schulze MB, Spijkerman AM, Griffin SJ, Grobbee DE, Palla L, Tormo MJ, Arriola L, Barengo NC, Barricarte A, Boeing H, Bonet C, Clavel-Chapelon F, Dartois L, Fagherazzi G, Franks PW, Huerta JM, Kaaks R, Key TJ, Khaw KT, Li K, Mühlenbruch K, Nilsson PM, Overvad K, Overvad TF, Palli D, Panico S, Quirós JR, Rolandsson O, Roswall N, Sacerdote C, Sánchez MJ, Slimani N, Tagliabue G, Tjønneland A, Tumino R, van der A DL, Forouhi NG, Sharp SJ, Langenberg C, Riboli E, Wareham NJ. Kengne AP, et al. Lancet Diabetes Endocrinol. 2014 Jan;2(1):19-29. doi: 10.1016/S2213-8587(13)70103-7. Epub 2013 Oct 8. Lancet Diabetes Endocrinol. 2014. PMID: 24622666 Free article.
Risk predictive modelling for diabetes and cardiovascular disease.
Kengne AP, Masconi K, Mbanya VN, Lekoubou A, Echouffo-Tcheugui JB, Matsha TE. Kengne AP, et al. Crit Rev Clin Lab Sci. 2014 Feb;51(1):1-12. doi: 10.3109/10408363.2013.853025. Epub 2013 Dec 4. Crit Rev Clin Lab Sci. 2014. PMID: 24304342 Review.
650 results