Creating awareness of the heterogeneity of the intensive care unit population and its impact on generalizability of results and transportability of models
Author:
Publisher
Elsevier BV
Subject
Critical Care Nursing
Reference12 articles.
1. Afshar, A.S., et al., An exploratory data quality analysis of time series physiologic signals using a large-scale intensive care unit database. JAMIA Open, 2021(2574-2531 (Electronic)).
2. Heterogeneity hampers the identification of general pressure injury risk factors in intensive care populations: A predictive modelling analysis;Deschepper;Intensive and Critical Care Nursing,2022
3. Extremely missing numerical data in Electronic Health Records for machine learning can be managed through simple imputation methods considering informative missingness: A comparative of solutions in a COVID-19 mortality case study;Ferri;Comput. Methods Programs Biomed.,2023
4. Analysing randomised controlled trials with missing data: Choice of approach affects conclusions;Fielding;Contemp. Clin. Trials,2012
5. International variation in length of stay in intensive care units and the impact of patient-to-nurse ratios;Khanna;Intensive and Critical Care Nursing,2022
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