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Predicting ICU Mortality in Acute Respiratory Distress Syndrome Patients Using Machine Learning: The Predicting Outcome and STratifiCation of severity in ARDS (POSTCARDS) Study.

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Title: Predicting ICU Mortality in Acute Respiratory Distress Syndrome Patients Using Machine Learning: The Predicting Outcome and STratifiCation of severity in ARDS (POSTCARDS) Study.
Authors: Villar J; CIBER de Enfermedades Respiratorias, Instituto de Salud Carlos III, Madrid, Spain.; Research Unit, Hospital Universitario Dr. Negrín, Las Palmas de Gran Canaria, Spain.; Li Ka Shing Knowledge Institute at St. Michael's Hospital, Toronto, ON, Canada., González-Martín JM; CIBER de Enfermedades Respiratorias, Instituto de Salud Carlos III, Madrid, Spain.; Research Unit, Hospital Universitario Dr. Negrín, Las Palmas de Gran Canaria, Spain., Hernández-González J; Departament de Matemàtiques i Informàtica, Universitat de Barcelona (UB), Barcelona, Spain., Armengol MA; Big Data Department, PMC-FPS, Regional Ministry of Health and Consumer Affairs, Sevilla, Spain., Fernández C; Research Unit, Hospital Universitario Dr. Negrín, Las Palmas de Gran Canaria, Spain., Martín-Rodríguez C; Intensive Care Unit, Hospital General Universitario de Ciudad Real, Ciudad Real, Spain., Mosteiro F; Intensive Care Unit, Hospital Universitario de A Coruña, La Coruña, Spain., Martínez D; Intensive Care Unit, Hospital Universitario Virgen de Arrixaca, Murcia, Spain., Sánchez-Ballesteros J; Intensive Care Unit, Hospital Universitario Río Hortega, Valladolid, Spain., Ferrando C; Surgical Intensive Care Unit, Department of Anesthesia, Hospital Clinic, IDIBAPS, Barcelona, Spain., Domínguez-Berrot AM; Intensive Care Unit, Complejo Asistencial Universitario de León, León, Spain., Añón JM; Intensive Care Unit, Hospital Universitario La Paz, IdiPaz, Madrid, Spain., Parra L; Intensive Care Unit, Hospital Clínico Universitario de Valladolid, Valladolid, Spain., Montiel R; Intensive Care Unit, Hospital Universitario NS de Candelaria, Santa Cruz de Tenerife, Spain., Solano R; Intensive Care Unit, Hospital Virgen de La Luz, Cuenca, Spain., Robaglia D; Intensive Care Unit, Hospital Universitario Fundación Jiménez Díaz, Madrid, Spain., Rodríguez-Suárez P; CIBER de Enfermedades Respiratorias, Instituto de Salud Carlos III, Madrid, Spain.; Thoracic Surgery, Hospital Universitario Dr. Negrín, Las Palmas de Gran Canaria, Spain., Gómez-Bentolila E; Research Unit, Hospital Universitario Dr. Negrín, Las Palmas de Gran Canaria, Spain., Fernández RL; CIBER de Enfermedades Respiratorias, Instituto de Salud Carlos III, Madrid, Spain.; Research Unit, Hospital Universitario Dr. Negrín, Las Palmas de Gran Canaria, Spain., Szakmany T; Department of Intensive Care Medicine & Anesthesia, Aneurin Bevan University Health Board, Newport, United Kingdom.; Cardiff University, Cardiff, United Kingdom., Steyerberg EW; Department Biomedical Data Sciences, Leiden University Medical Center, Leiden, The Netherlands., Slutsky AS; Li Ka Shing Knowledge Institute at St. Michael's Hospital, Toronto, ON, Canada.; Division of Critical Care Medicine, University of Toronto, Toronto, ON, Canada.
Corporate Authors: Predicting Outcome and STratifiCation of severity in ARDS (POSTCARDS) Network
Source: Critical care medicine [Crit Care Med] 2023 Dec 01; Vol. 51 (12), pp. 1638-1649. Date of Electronic Publication: 2023 Aug 31.
Publication Type: Journal Article; Multicenter Study; Observational Study; Research Support, Non-U.S. Gov't
Journal Info: Publisher: Lippincott Williams & Wilkins Country of Publication: United States NLM ID: 0355501 Publication Model: Print-Electronic Cited Medium: Internet ISSN: 1530-0293 (Electronic) Linking ISSN: 00903493 NLM ISO Abbreviation: Crit Care Med Subsets: MEDLINE
Database: MEDLINE Ultimate
Description
ISSN:1530-0293
DOI:10.1097/CCM.0000000000006030