An Interpretable Machine Learning Model for Early Multitemporal Prediction of Onset of Acute Kidney Injury in Intensive Care Unit Patients with Severe Trauma.
Saved in:
| Title: | An Interpretable Machine Learning Model for Early Multitemporal Prediction of Onset of Acute Kidney Injury in Intensive Care Unit Patients with Severe Trauma. |
|---|---|
| Authors: | Gao B; School of Public Health, Research Center for Medicine and Social Development, Innovation Center for Social Risk Governance in Health, Research Center for Public Health Security, First Affiliated Hospital, Chongqing Medical University, Chongqing, China., Jin H; School of Public Health, Research Center for Medicine and Social Development, Innovation Center for Social Risk Governance in Health, Research Center for Public Health Security, First Affiliated Hospital, Chongqing Medical University, Chongqing, China., Zhang Y; School of Public Health, Research Center for Medicine and Social Development, Innovation Center for Social Risk Governance in Health, Research Center for Public Health Security, First Affiliated Hospital, Chongqing Medical University, Chongqing, China., Chen J; School of Public Health, Research Center for Medicine and Social Development, Innovation Center for Social Risk Governance in Health, Research Center for Public Health Security, First Affiliated Hospital, Chongqing Medical University, Chongqing, China.; The Simpson Centre for Health Services Research, Faculty of Medicine, University of New South Wales, Sydney, NSW, Australia. |
| Source: | Journal of intensive care medicine [J Intensive Care Med] 2026 Jul; Vol. 41 (7), pp. 630-642. Date of Electronic Publication: 2025 Oct 29. |
| Publication Type: | Journal Article |
| Journal Info: | Publisher: Sage Publications Country of Publication: United States NLM ID: 8610344 Publication Model: Print-Electronic Cited Medium: Internet ISSN: 1525-1489 (Electronic) Linking ISSN: 08850666 NLM ISO Abbreviation: J Intensive Care Med Subsets: MEDLINE |
| Database: | MEDLINE Ultimate |
|
Full text is not displayed to guests.
Login for full access.
|
|
| FullText | Links: – Type: pdflink Text: Availability: 1 |
|---|---|
| Header | DbId: mdl DbLabel: MEDLINE Ultimate An: 41160504 AccessLevel: 2 PubType: Academic Journal PubTypeId: academicJournal PreciseRelevancyScore: 0 |
| IllustrationInfo | |
| Items | – Name: Title Label: Title Group: Ti Data: An Interpretable Machine Learning Model for Early Multitemporal Prediction of Onset of Acute Kidney Injury in Intensive Care Unit Patients with Severe Trauma. – Name: Author Label: Authors Group: Au Data: <searchLink fieldCode="AU" term="%22Gao+B%22">Gao B</searchLink>; School of Public Health, Research Center for Medicine and Social Development, Innovation Center for Social Risk Governance in Health, Research Center for Public Health Security, First Affiliated Hospital, Chongqing Medical University, Chongqing, China.<br /><searchLink fieldCode="AU" term="%22Jin+H%22">Jin H</searchLink>; School of Public Health, Research Center for Medicine and Social Development, Innovation Center for Social Risk Governance in Health, Research Center for Public Health Security, First Affiliated Hospital, Chongqing Medical University, Chongqing, China.<br /><searchLink fieldCode="AU" term="%22Zhang+Y%22">Zhang Y</searchLink>; School of Public Health, Research Center for Medicine and Social Development, Innovation Center for Social Risk Governance in Health, Research Center for Public Health Security, First Affiliated Hospital, Chongqing Medical University, Chongqing, China.<br /><searchLink fieldCode="AU" term="%22Chen+J%22">Chen J</searchLink>; School of Public Health, Research Center for Medicine and Social Development, Innovation Center for Social Risk Governance in Health, Research Center for Public Health Security, First Affiliated Hospital, Chongqing Medical University, Chongqing, China.; The Simpson Centre for Health Services Research, Faculty of Medicine, University of New South Wales, Sydney, NSW, Australia. – Name: TitleSource Label: Source Group: Src Data: <searchLink fieldCode="JN" term="%228610344%22">Journal of intensive care medicine</searchLink> [J Intensive Care Med] 2026 Jul; Vol. 41 (7), pp. 630-642. <i>Date of Electronic Publication: </i>2025 Oct 29. – Name: TypePub Label: Publication Type Group: TypPub Data: Journal Article – Name: TitleSource Label: Journal Info Group: Src Data: <i>Publisher: </i><searchLink fieldCode="PB" term="%22Sage+Publications%22">Sage Publications </searchLink><i>Country of Publication: </i>United States <i>NLM ID: </i>8610344 <i>Publication Model: </i>Print-Electronic <i>Cited Medium: </i>Internet <i>ISSN: </i>1525-1489 (Electronic) <i>Linking ISSN: </i><searchLink fieldCode="IS" term="%2208850666%22">08850666 </searchLink><i>NLM ISO Abbreviation: </i>J Intensive Care Med <i>Subsets: </i>MEDLINE |
| PLink | https://search.ebscohost.com/login.aspx?direct=true&site=eds-live&db=mdl&AN=41160504 |
| RecordInfo | BibRecord: BibEntity: Identifiers: – Type: doi Value: 10.1177/08850666251390848 Languages: – Code: eng Text: English PhysicalDescription: Pagination: StartPage: 630 Titles: – TitleFull: An Interpretable Machine Learning Model for Early Multitemporal Prediction of Onset of Acute Kidney Injury in Intensive Care Unit Patients with Severe Trauma. Type: main BibRelationships: HasContributorRelationships: – PersonEntity: Name: NameFull: Gao B – PersonEntity: Name: NameFull: Jin H – PersonEntity: Name: NameFull: Zhang Y – PersonEntity: Name: NameFull: Chen J IsPartOfRelationships: – BibEntity: Dates: – D: 01 M: 07 Text: 2026 Jul Type: published Y: 2026 Identifiers: – Type: issn-electronic Value: 1525-1489 Numbering: – Type: volume Value: 41 – Type: issue Value: 7 Titles: – TitleFull: Journal of intensive care medicine Type: main |
| ResultId | 1 |
