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Machine learning predicts mortality based on analysis of ventilation parameters of critically ill patients: multi-centre validation.
Mamandipoor B, Frutos-Vivar F, Peñuelas O, Rezar R, Raymondos K, Muriel A, Du B, Thille AW, Ríos F, González M, Del-Sorbo L, Del Carmen Marín M, Pinheiro BV, Soares MA, Nin N, Maggiore SM, Bersten A, Kelm M, Bruno RR, Amin P, Cakar N, Suh GY, Abroug F, Jibaja M, Matamis D, Zeggwagh AA, Sutherasan Y, Anzueto A, Wernly B, Esteban A, Jung C, Osmani V. Mamandipoor B, et al. BMC Med Inform Decis Mak. 2021 May 7;21(1):152. doi: 10.1186/s12911-021-01506-w. BMC Med Inform Decis Mak. 2021. PMID: 33962603 Free PMC article.
Disease-Course Adapting Machine Learning Prognostication Models in Elderly Patients Critically Ill With COVID-19: Multicenter Cohort Study With External Validation.
Jung C, Mamandipoor B, Fjølner J, Bruno RR, Wernly B, Artigas A, Bollen Pinto B, Schefold JC, Wolff G, Kelm M, Beil M, Sviri S, van Heerden PV, Szczeklik W, Czuczwar M, Elhadi M, Joannidis M, Oeyen S, Zafeiridis T, Marsh B, Andersen FH, Moreno R, Cecconi M, Leaver S, De Lange DW, Guidet B, Flaatten H, Osmani V. Jung C, et al. Among authors: mamandipoor b. JMIR Med Inform. 2022 Mar 31;10(3):e32949. doi: 10.2196/32949. JMIR Med Inform. 2022. PMID: 35099394 Free PMC article.
17 results