Comparing causal random forest and linear regression to estimate the independent association of organisational factors with ICU efficiency.
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| Title: | Comparing causal random forest and linear regression to estimate the independent association of organisational factors with ICU efficiency. |
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| Authors: | Bastos LSL; Department of Industrial Engineering, Pontifical Catholic University of Rio de Janeiro (PUC-Rio), Rio de Janeiro, RJ, Brazil. Electronic address: lslbastos@puc-rio.br., Wortel SA; Amsterdam UMC location University of Amsterdam, Department of Medical Informatics, Meibergdreef 9, Amsterdam, the Netherlands; National Intensive Care Evaluation (NICE) Foundation, Amsterdam UMC location University of Amsterdam, Department of Medical Informatics, Meibergdreef 9, Amsterdam, the Netherlands; Amsterdam Public Health, Digital Health and Methodology, Amsterdam, the Netherlands., Bakhshi-Raiez F; Amsterdam UMC location University of Amsterdam, Department of Medical Informatics, Meibergdreef 9, Amsterdam, the Netherlands; National Intensive Care Evaluation (NICE) Foundation, Amsterdam UMC location University of Amsterdam, Department of Medical Informatics, Meibergdreef 9, Amsterdam, the Netherlands; Amsterdam Public Health, Digital Health and Methodology, Amsterdam, the Netherlands., Abu-Hanna A; Amsterdam UMC location University of Amsterdam, Department of Medical Informatics, Meibergdreef 9, Amsterdam, the Netherlands; Amsterdam Public Health, Digital Health and Methodology, Amsterdam, the Netherlands., Dongelmans DA; National Intensive Care Evaluation (NICE) Foundation, Amsterdam UMC location University of Amsterdam, Department of Medical Informatics, Meibergdreef 9, Amsterdam, the Netherlands; Amsterdam Public Health, Digital Health and Methodology, Amsterdam, the Netherlands; Department of Intensive Care, Amsterdam UMC, Amsterdam, the Netherlands., Salluh JIF; D'Or Institute for Research and Education (IDOR), Rio de Janeiro, RJ, Brazil; Brazilian Research in Intensive Care Network (BRICNet), Brazil; PostGraduate, Internal Medicine, Program Federal University of Rio de Janeiro, Rio de Janeiro, RJ, Brazil., Zampieri FG; D'Or Institute for Research and Education (IDOR), Rio de Janeiro, RJ, Brazil; Brazilian Research in Intensive Care Network (BRICNet), Brazil., Burghi G; Intensive Care Unit, Hospital Maciel, Montevideo, Uruguay., Hamacher S; Department of Industrial Engineering, Pontifical Catholic University of Rio de Janeiro (PUC-Rio), Rio de Janeiro, RJ, Brazil., Bozza FA; D'Or Institute for Research and Education (IDOR), Rio de Janeiro, RJ, Brazil; Brazilian Research in Intensive Care Network (BRICNet), Brazil; Oswaldo Cruz Foundation (FIOCRUZ), Rio de Janeiro, RJ, Brazil., de Keizer NF; Amsterdam UMC location University of Amsterdam, Department of Medical Informatics, Meibergdreef 9, Amsterdam, the Netherlands; National Intensive Care Evaluation (NICE) Foundation, Amsterdam UMC location University of Amsterdam, Department of Medical Informatics, Meibergdreef 9, Amsterdam, the Netherlands; Amsterdam Public Health, Digital Health and Methodology, Amsterdam, the Netherlands., Soares M; D'Or Institute for Research and Education (IDOR), Rio de Janeiro, RJ, Brazil; Brazilian Research in Intensive Care Network (BRICNet), Brazil. |
| Source: | International journal of medical informatics [Int J Med Inform] 2024 Nov; Vol. 191, pp. 105568. Date of Electronic Publication: 2024 Jul 27. |
| Publication Type: | Journal Article; Comparative Study; Research Support, Non-U.S. Gov't |
| Journal Info: | Publisher: Elsevier Science Ireland Ltd Country of Publication: Ireland NLM ID: 9711057 Publication Model: Print-Electronic Cited Medium: Internet ISSN: 1872-8243 (Electronic) Linking ISSN: 13865056 NLM ISO Abbreviation: Int J Med Inform Subsets: MEDLINE |
| Database: | MEDLINE Ultimate |
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