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. |
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| 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 |
| FullText | Text: Availability: 0 |
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| Header | DbId: mdl DbLabel: MEDLINE Ultimate An: 37651262 AccessLevel: 2 PubType: Academic Journal PubTypeId: academicJournal PreciseRelevancyScore: 0 |
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| Items | – Name: Title Label: Title Group: Ti Data: Predicting ICU Mortality in Acute Respiratory Distress Syndrome Patients Using Machine Learning: The Predicting Outcome and STratifiCation of severity in ARDS (POSTCARDS) Study. – Name: Author Label: Authors Group: Au Data: <searchLink fieldCode="AU" term="%22Villar+J%22">Villar J</searchLink>; 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.<br /><searchLink fieldCode="AU" term="%22González-Martín+JM%22">González-Martín JM</searchLink>; CIBER de Enfermedades Respiratorias, Instituto de Salud Carlos III, Madrid, Spain.; Research Unit, Hospital Universitario Dr. Negrín, Las Palmas de Gran Canaria, Spain.<br /><searchLink fieldCode="AU" term="%22Hernández-González+J%22">Hernández-González J</searchLink>; Departament de Matemàtiques i Informàtica, Universitat de Barcelona (UB), Barcelona, Spain.<br /><searchLink fieldCode="AU" term="%22Armengol+MA%22">Armengol MA</searchLink>; Big Data Department, PMC-FPS, Regional Ministry of Health and Consumer Affairs, Sevilla, Spain.<br /><searchLink fieldCode="AU" term="%22Fernández+C%22">Fernández C</searchLink>; Research Unit, Hospital Universitario Dr. Negrín, Las Palmas de Gran Canaria, Spain.<br /><searchLink fieldCode="AU" term="%22Martín-Rodríguez+C%22">Martín-Rodríguez C</searchLink>; Intensive Care Unit, Hospital General Universitario de Ciudad Real, Ciudad Real, Spain.<br /><searchLink fieldCode="AU" term="%22Mosteiro+F%22">Mosteiro F</searchLink>; Intensive Care Unit, Hospital Universitario de A Coruña, La Coruña, Spain.<br /><searchLink fieldCode="AU" term="%22Martínez+D%22">Martínez D</searchLink>; Intensive Care Unit, Hospital Universitario Virgen de Arrixaca, Murcia, Spain.<br /><searchLink fieldCode="AU" term="%22Sánchez-Ballesteros+J%22">Sánchez-Ballesteros J</searchLink>; Intensive Care Unit, Hospital Universitario Río Hortega, Valladolid, Spain.<br /><searchLink fieldCode="AU" term="%22Ferrando+C%22">Ferrando C</searchLink>; Surgical Intensive Care Unit, Department of Anesthesia, Hospital Clinic, IDIBAPS, Barcelona, Spain.<br /><searchLink fieldCode="AU" term="%22Domínguez-Berrot+AM%22">Domínguez-Berrot AM</searchLink>; Intensive Care Unit, Complejo Asistencial Universitario de León, León, Spain.<br /><searchLink fieldCode="AU" term="%22Añón+JM%22">Añón JM</searchLink>; Intensive Care Unit, Hospital Universitario La Paz, IdiPaz, Madrid, Spain.<br /><searchLink fieldCode="AU" term="%22Parra+L%22">Parra L</searchLink>; Intensive Care Unit, Hospital Clínico Universitario de Valladolid, Valladolid, Spain.<br /><searchLink fieldCode="AU" term="%22Montiel+R%22">Montiel R</searchLink>; Intensive Care Unit, Hospital Universitario NS de Candelaria, Santa Cruz de Tenerife, Spain.<br /><searchLink fieldCode="AU" term="%22Solano+R%22">Solano R</searchLink>; Intensive Care Unit, Hospital Virgen de La Luz, Cuenca, Spain.<br /><searchLink fieldCode="AU" term="%22Robaglia+D%22">Robaglia D</searchLink>; Intensive Care Unit, Hospital Universitario Fundación Jiménez Díaz, Madrid, Spain.<br /><searchLink fieldCode="AU" term="%22Rodríguez-Suárez+P%22">Rodríguez-Suárez P</searchLink>; CIBER de Enfermedades Respiratorias, Instituto de Salud Carlos III, Madrid, Spain.; Thoracic Surgery, Hospital Universitario Dr. Negrín, Las Palmas de Gran Canaria, Spain.<br /><searchLink fieldCode="AU" term="%22Gómez-Bentolila+E%22">Gómez-Bentolila E</searchLink>; Research Unit, Hospital Universitario Dr. Negrín, Las Palmas de Gran Canaria, Spain.<br /><searchLink fieldCode="AU" term="%22Fernández+RL%22">Fernández RL</searchLink>; CIBER de Enfermedades Respiratorias, Instituto de Salud Carlos III, Madrid, Spain.; Research Unit, Hospital Universitario Dr. Negrín, Las Palmas de Gran Canaria, Spain.<br /><searchLink fieldCode="AU" term="%22Szakmany+T%22">Szakmany T</searchLink>; Department of Intensive Care Medicine & Anesthesia, Aneurin Bevan University Health Board, Newport, United Kingdom.; Cardiff University, Cardiff, United Kingdom.<br /><searchLink fieldCode="AU" term="%22Steyerberg+EW%22">Steyerberg EW</searchLink>; Department Biomedical Data Sciences, Leiden University Medical Center, Leiden, The Netherlands.<br /><searchLink fieldCode="AU" term="%22Slutsky+AS%22">Slutsky AS</searchLink>; Li Ka Shing Knowledge Institute at St. Michael's Hospital, Toronto, ON, Canada.; Division of Critical Care Medicine, University of Toronto, Toronto, ON, Canada. – Name: AuthorCorporate Label: Corporate Authors Group: Au Data: <searchLink fieldCode="CA" term="%22Predicting+Outcome+and+STratifiCation+of+severity+in+ARDS+%28POSTCARDS%29+Network%22">Predicting Outcome and STratifiCation of severity in ARDS (POSTCARDS) Network</searchLink> – Name: TitleSource Label: Source Group: Src Data: <searchLink fieldCode="JN" term="%220355501%22">Critical care medicine</searchLink> [Crit Care Med] 2023 Dec 01; Vol. 51 (12), pp. 1638-1649. <i>Date of Electronic Publication: </i>2023 Aug 31. – Name: TypePub Label: Publication Type Group: TypPub Data: Journal Article; Multicenter Study; Observational Study; Research Support, Non-U.S. Gov't – Name: TitleSource Label: Journal Info Group: Src Data: <i>Publisher: </i><searchLink fieldCode="PB" term="%22Lippincott+Williams+%26+Wilkins%22">Lippincott Williams & Wilkins </searchLink><i>Country of Publication: </i>United States <i>NLM ID: </i>0355501 <i>Publication Model: </i>Print-Electronic <i>Cited Medium: </i>Internet <i>ISSN: </i>1530-0293 (Electronic) <i>Linking ISSN: </i><searchLink fieldCode="IS" term="%2200903493%22">00903493 </searchLink><i>NLM ISO Abbreviation: </i>Crit Care Med <i>Subsets: </i>MEDLINE |
| PLink | https://search.ebscohost.com/login.aspx?direct=true&site=eds-live&db=mdl&AN=37651262 |
| RecordInfo | BibRecord: BibEntity: Identifiers: – Type: doi Value: 10.1097/CCM.0000000000006030 Languages: – Code: eng Text: English PhysicalDescription: Pagination: StartPage: 1638 Titles: – TitleFull: Predicting ICU Mortality in Acute Respiratory Distress Syndrome Patients Using Machine Learning: The Predicting Outcome and STratifiCation of severity in ARDS (POSTCARDS) Study. Type: main BibRelationships: HasContributorRelationships: – PersonEntity: Name: NameFull: Villar J – PersonEntity: Name: NameFull: González-Martín JM – PersonEntity: Name: NameFull: Hernández-González J – PersonEntity: Name: NameFull: Armengol MA – PersonEntity: Name: NameFull: Fernández C – PersonEntity: Name: NameFull: Martín-Rodríguez C – PersonEntity: Name: NameFull: Mosteiro F – PersonEntity: Name: NameFull: Martínez D – PersonEntity: Name: NameFull: Sánchez-Ballesteros J – PersonEntity: Name: NameFull: Ferrando C – PersonEntity: Name: NameFull: Domínguez-Berrot AM – PersonEntity: Name: NameFull: Añón JM – PersonEntity: Name: NameFull: Parra L – PersonEntity: Name: NameFull: Montiel R – PersonEntity: Name: NameFull: Solano R – PersonEntity: Name: NameFull: Robaglia D – PersonEntity: Name: NameFull: Rodríguez-Suárez P – PersonEntity: Name: NameFull: Gómez-Bentolila E – PersonEntity: Name: NameFull: Fernández RL – PersonEntity: Name: NameFull: Szakmany T – PersonEntity: Name: NameFull: Steyerberg EW – PersonEntity: Name: NameFull: Slutsky AS IsPartOfRelationships: – BibEntity: Dates: – D: 01 M: 12 Text: 2023 Dec 01 Type: published Y: 2023 Identifiers: – Type: issn-electronic Value: 1530-0293 Numbering: – Type: volume Value: 51 – Type: issue Value: 12 Titles: – TitleFull: Critical care medicine Type: main |
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