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Prediction models for diagnosis and prognosis of covid-19: systematic review and critical appraisal.
Wynants L, Van Calster B, Collins GS, Riley RD, Heinze G, Schuit E, Bonten MMJ, Dahly DL, Damen JAA, Debray TPA, de Jong VMT, De Vos M, Dhiman P, Haller MC, Harhay MO, Henckaerts L, Heus P, Kammer M, Kreuzberger N, Lohmann A, Luijken K, Ma J, Martin GP, McLernon DJ, Andaur Navarro CL, Reitsma JB, Sergeant JC, Shi C, Skoetz N, Smits LJM, Snell KIE, Sperrin M, Spijker R, Steyerberg EW, Takada T, Tzoulaki I, van Kuijk SMJ, van Bussel B, van der Horst ICC, van Royen FS, Verbakel JY, Wallisch C, Wilkinson J, Wolff R, Hooft L, Moons KGM, van Smeden M. Wynants L, et al. BMJ. 2020 Apr 7;369:m1328. doi: 10.1136/bmj.m1328. BMJ. 2020. PMID: 32265220 Free PMC article. Updated.
Comparison of machine learning methods with logistic regression analysis in creating predictive models for risk of critical in-hospital events in COVID-19 patients on hospital admission.
Sievering AW, Wohlmuth P, Geßler N, Gunawardene MA, Herrlinger K, Bein B, Arnold D, Bergmann M, Nowak L, Gloeckner C, Koch I, Bachmann M, Herborn CU, Stang A. Sievering AW, et al. BMC Med Inform Decis Mak. 2022 Nov 28;22(1):309. doi: 10.1186/s12911-022-02057-4. BMC Med Inform Decis Mak. 2022. PMID: 36437469 Free PMC article.
39 results