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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.
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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PubType: Academic Journal
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  Data: Comparing causal random forest and linear regression to estimate the independent association of organisational factors with ICU efficiency.
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  Data: <searchLink fieldCode="AU" term="%22Bastos+LSL%22">Bastos LSL</searchLink>; Department of Industrial Engineering, Pontifical Catholic University of Rio de Janeiro (PUC-Rio), Rio de Janeiro, RJ, Brazil. Electronic address: lslbastos@puc-rio.br.<br /><searchLink fieldCode="AU" term="%22Wortel+SA%22">Wortel SA</searchLink>; 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.<br /><searchLink fieldCode="AU" term="%22Bakhshi-Raiez+F%22">Bakhshi-Raiez F</searchLink>; 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.<br /><searchLink fieldCode="AU" term="%22Abu-Hanna+A%22">Abu-Hanna A</searchLink>; 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.<br /><searchLink fieldCode="AU" term="%22Dongelmans+DA%22">Dongelmans DA</searchLink>; 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.<br /><searchLink fieldCode="AU" term="%22Salluh+JIF%22">Salluh JIF</searchLink>; 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.<br /><searchLink fieldCode="AU" term="%22Zampieri+FG%22">Zampieri FG</searchLink>; D'Or Institute for Research and Education (IDOR), Rio de Janeiro, RJ, Brazil; Brazilian Research in Intensive Care Network (BRICNet), Brazil.<br /><searchLink fieldCode="AU" term="%22Burghi+G%22">Burghi G</searchLink>; Intensive Care Unit, Hospital Maciel, Montevideo, Uruguay.<br /><searchLink fieldCode="AU" term="%22Hamacher+S%22">Hamacher S</searchLink>; Department of Industrial Engineering, Pontifical Catholic University of Rio de Janeiro (PUC-Rio), Rio de Janeiro, RJ, Brazil.<br /><searchLink fieldCode="AU" term="%22Bozza+FA%22">Bozza FA</searchLink>; 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.<br /><searchLink fieldCode="AU" term="%22de+Keizer+NF%22">de Keizer NF</searchLink>; 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.<br /><searchLink fieldCode="AU" term="%22Soares+M%22">Soares M</searchLink>; D'Or Institute for Research and Education (IDOR), Rio de Janeiro, RJ, Brazil; Brazilian Research in Intensive Care Network (BRICNet), Brazil.
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  Data: <searchLink fieldCode="JN" term="%229711057%22">International journal of medical informatics</searchLink> [Int J Med Inform] 2024 Nov; Vol. 191, pp. 105568. <i>Date of Electronic Publication: </i>2024 Jul 27.
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  Data: <i>Publisher: </i><searchLink fieldCode="PB" term="%22Elsevier+Science+Ireland+Ltd%22">Elsevier Science Ireland Ltd </searchLink><i>Country of Publication: </i>Ireland <i>NLM ID: </i>9711057 <i>Publication Model: </i>Print-Electronic <i>Cited Medium: </i>Internet <i>ISSN: </i>1872-8243 (Electronic) <i>Linking ISSN: </i><searchLink fieldCode="IS" term="%2213865056%22">13865056 </searchLink><i>NLM ISO Abbreviation: </i>Int J Med Inform <i>Subsets: </i>MEDLINE
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        Value: 10.1016/j.ijmedinf.2024.105568
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        Text: English
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              Text: 2024 Nov
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