Machine Learning Models to Predict Withdrawal of Life-Sustaining Therapy in Patients With Severe Traumatic Brain Injury.
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| Title: | Machine Learning Models to Predict Withdrawal of Life-Sustaining Therapy in Patients With Severe Traumatic Brain Injury. |
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| Authors: | Cobler-Lichter M; Division of Trauma & Surgical Critical Care, DeWitt Daughtry Family Department of Surgery, Ryder Trauma Center, University of Miami Miller School of Medicine, FL., Delamater JM; Division of Trauma & Surgical Critical Care, DeWitt Daughtry Family Department of Surgery, Ryder Trauma Center, University of Miami Miller School of Medicine, FL., Teixeira FJP; Division of Neurocritical Care, Department of Neurology, University of Miami, FL., Reyes AM; Division of Trauma & Surgical Critical Care, DeWitt Daughtry Family Department of Surgery, Ryder Trauma Center, University of Miami Miller School of Medicine, FL., Arcieri TR; Division of Trauma & Surgical Critical Care, DeWitt Daughtry Family Department of Surgery, Ryder Trauma Center, University of Miami Miller School of Medicine, FL., Manolovitz B; Division of Neurocritical Care, Department of Neurology, University of Miami, FL., McKeown JA; Division of Neurocritical Care, Department of Neurology, University of Miami, FL., Koru-Sengul T; Department of Public Health, University of Miami, FL; and., Jagid J; Department of Neurological Surgery, University of Miami, FL., Graciolli Cordeiro J; Department of Neurological Surgery, University of Miami, FL., Massad N; Division of Neurocritical Care, Department of Neurology, University of Miami, FL., Kottapally M; Division of Neurocritical Care, Department of Neurology, University of Miami, FL., Merenda A; Division of Neurocritical Care, Department of Neurology, University of Miami, FL., O'Phelan K; Division of Neurocritical Care, Department of Neurology, University of Miami, FL., Namias N; Division of Trauma & Surgical Critical Care, DeWitt Daughtry Family Department of Surgery, Ryder Trauma Center, University of Miami Miller School of Medicine, FL., Alkhachroum A; Division of Neurocritical Care, Department of Neurology, University of Miami, FL. |
| Source: | Neurology [Neurology] 2025 Nov 11; Vol. 105 (9), pp. e214249. Date of Electronic Publication: 2025 Oct 10. |
| Publication Type: | Journal Article; Observational Study |
| Journal Info: | Publisher: Lippincott Williams & Wilkins Country of Publication: United States NLM ID: 0401060 Publication Model: Print-Electronic Cited Medium: Internet ISSN: 1526-632X (Electronic) Linking ISSN: 00283878 NLM ISO Abbreviation: Neurology Subsets: MEDLINE |
| Database: | MEDLINE Ultimate |
| FullText | Text: Availability: 0 |
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| Header | DbId: mdl DbLabel: MEDLINE Ultimate An: 41071965 AccessLevel: 2 PubType: Academic Journal PubTypeId: academicJournal PreciseRelevancyScore: 0 |
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| Items | – Name: Title Label: Title Group: Ti Data: Machine Learning Models to Predict Withdrawal of Life-Sustaining Therapy in Patients With Severe Traumatic Brain Injury. – Name: Author Label: Authors Group: Au Data: <searchLink fieldCode="AU" term="%22Cobler-Lichter+M%22">Cobler-Lichter M</searchLink>; Division of Trauma & Surgical Critical Care, DeWitt Daughtry Family Department of Surgery, Ryder Trauma Center, University of Miami Miller School of Medicine, FL.<br /><searchLink fieldCode="AU" term="%22Delamater+JM%22">Delamater JM</searchLink>; Division of Trauma & Surgical Critical Care, DeWitt Daughtry Family Department of Surgery, Ryder Trauma Center, University of Miami Miller School of Medicine, FL.<br /><searchLink fieldCode="AU" term="%22Teixeira+FJP%22">Teixeira FJP</searchLink>; Division of Neurocritical Care, Department of Neurology, University of Miami, FL.<br /><searchLink fieldCode="AU" term="%22Reyes+AM%22">Reyes AM</searchLink>; Division of Trauma & Surgical Critical Care, DeWitt Daughtry Family Department of Surgery, Ryder Trauma Center, University of Miami Miller School of Medicine, FL.<br /><searchLink fieldCode="AU" term="%22Arcieri+TR%22">Arcieri TR</searchLink>; Division of Trauma & Surgical Critical Care, DeWitt Daughtry Family Department of Surgery, Ryder Trauma Center, University of Miami Miller School of Medicine, FL.<br /><searchLink fieldCode="AU" term="%22Manolovitz+B%22">Manolovitz B</searchLink>; Division of Neurocritical Care, Department of Neurology, University of Miami, FL.<br /><searchLink fieldCode="AU" term="%22McKeown+JA%22">McKeown JA</searchLink>; Division of Neurocritical Care, Department of Neurology, University of Miami, FL.<br /><searchLink fieldCode="AU" term="%22Koru-Sengul+T%22">Koru-Sengul T</searchLink>; Department of Public Health, University of Miami, FL; and.<br /><searchLink fieldCode="AU" term="%22Jagid+J%22">Jagid J</searchLink>; Department of Neurological Surgery, University of Miami, FL.<br /><searchLink fieldCode="AU" term="%22Graciolli+Cordeiro+J%22">Graciolli Cordeiro J</searchLink>; Department of Neurological Surgery, University of Miami, FL.<br /><searchLink fieldCode="AU" term="%22Massad+N%22">Massad N</searchLink>; Division of Neurocritical Care, Department of Neurology, University of Miami, FL.<br /><searchLink fieldCode="AU" term="%22Kottapally+M%22">Kottapally M</searchLink>; Division of Neurocritical Care, Department of Neurology, University of Miami, FL.<br /><searchLink fieldCode="AU" term="%22Merenda+A%22">Merenda A</searchLink>; Division of Neurocritical Care, Department of Neurology, University of Miami, FL.<br /><searchLink fieldCode="AU" term="%22O'Phelan+K%22">O'Phelan K</searchLink>; Division of Neurocritical Care, Department of Neurology, University of Miami, FL.<br /><searchLink fieldCode="AU" term="%22Namias+N%22">Namias N</searchLink>; Division of Trauma & Surgical Critical Care, DeWitt Daughtry Family Department of Surgery, Ryder Trauma Center, University of Miami Miller School of Medicine, FL.<br /><searchLink fieldCode="AU" term="%22Alkhachroum+A%22">Alkhachroum A</searchLink>; Division of Neurocritical Care, Department of Neurology, University of Miami, FL. – Name: TitleSource Label: Source Group: Src Data: <searchLink fieldCode="JN" term="%220401060%22">Neurology</searchLink> [Neurology] 2025 Nov 11; Vol. 105 (9), pp. e214249. <i>Date of Electronic Publication: </i>2025 Oct 10. – Name: TypePub Label: Publication Type Group: TypPub Data: Journal Article; Observational Study – 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>0401060 <i>Publication Model: </i>Print-Electronic <i>Cited Medium: </i>Internet <i>ISSN: </i>1526-632X (Electronic) <i>Linking ISSN: </i><searchLink fieldCode="IS" term="%2200283878%22">00283878 </searchLink><i>NLM ISO Abbreviation: </i>Neurology <i>Subsets: </i>MEDLINE |
| PLink | https://search.ebscohost.com/login.aspx?direct=true&site=eds-live&db=mdl&AN=41071965 |
| RecordInfo | BibRecord: BibEntity: Identifiers: – Type: doi Value: 10.1212/WNL.0000000000214249 Languages: – Code: eng Text: English PhysicalDescription: Pagination: StartPage: e214249 Titles: – TitleFull: Machine Learning Models to Predict Withdrawal of Life-Sustaining Therapy in Patients With Severe Traumatic Brain Injury. Type: main BibRelationships: HasContributorRelationships: – PersonEntity: Name: NameFull: Cobler-Lichter M – PersonEntity: Name: NameFull: Delamater JM – PersonEntity: Name: NameFull: Teixeira FJP – PersonEntity: Name: NameFull: Reyes AM – PersonEntity: Name: NameFull: Arcieri TR – PersonEntity: Name: NameFull: Manolovitz B – PersonEntity: Name: NameFull: McKeown JA – PersonEntity: Name: NameFull: Koru-Sengul T – PersonEntity: Name: NameFull: Jagid J – PersonEntity: Name: NameFull: Graciolli Cordeiro J – PersonEntity: Name: NameFull: Massad N – PersonEntity: Name: NameFull: Kottapally M – PersonEntity: Name: NameFull: Merenda A – PersonEntity: Name: NameFull: O'Phelan K – PersonEntity: Name: NameFull: Namias N – PersonEntity: Name: NameFull: Alkhachroum A IsPartOfRelationships: – BibEntity: Dates: – D: 11 M: 11 Text: 2025 Nov 11 Type: published Y: 2025 Identifiers: – Type: issn-electronic Value: 1526-632X Numbering: – Type: volume Value: 105 – Type: issue Value: 9 Titles: – TitleFull: Neurology Type: main |
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