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Prediction model of in-hospital mortality in intensive care unit patients with heart failure: machine learning-based, retrospective analysis of the MIMIC-III database.

BMJ open

Li F, Xin H, Zhang J, Fu M, Zhou J, Lian Z.
PMID: 34301649
BMJ Open. 2021 Jul 23;11(7):e044779. doi: 10.1136/bmjopen-2020-044779.

OBJECTIVE: The predictors of in-hospital mortality for intensive care units (ICUs)-admitted heart failure (HF) patients remain poorly characterised. We aimed to develop and validate a prediction model for all-cause in-hospital mortality among ICU-admitted HF patients.DESIGN: A retrospective cohort study.SETTING...

Cite
Li F, Xin H, Zhang J, et al. Prediction model of in-hospital mortality in intensive care unit patients with heart failure: machine learning-based, retrospective analysis of the MIMIC-III database. BMJ Open. 2021;11(7):e044779doi: 10.1136/bmjopen-2020-044779.
Li, F., Xin, H., Zhang, J., Fu, M., Zhou, J., & Lian, Z. (2021). Prediction model of in-hospital mortality in intensive care unit patients with heart failure: machine learning-based, retrospective analysis of the MIMIC-III database. BMJ open, 11(7), e044779. https://doi.org/10.1136/bmjopen-2020-044779
Li, Fuhai, et al. "Prediction model of in-hospital mortality in intensive care unit patients with heart failure: machine learning-based, retrospective analysis of the MIMIC-III database." BMJ open vol. 11,7 (2021): e044779. doi: https://doi.org/10.1136/bmjopen-2020-044779
Li F, Xin H, Zhang J, Fu M, Zhou J, Lian Z. Prediction model of in-hospital mortality in intensive care unit patients with heart failure: machine learning-based, retrospective analysis of the MIMIC-III database. BMJ Open. 2021 Jul 23;11(7):e044779. doi: 10.1136/bmjopen-2020-044779. PMID: 34301649; PMCID: PMC8311359.
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Showing 85 to 85 of 85 entries