Predicting survival rates of critically ill septic patients with heart failure using interpretable machine learning models.
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| Title: | Predicting survival rates of critically ill septic patients with heart failure using interpretable machine learning models. |
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| Authors: | Yang, Hai-Ying1,2 (AUTHOR), Jiang, Meng-Han1,2 (AUTHOR), Yu, Fang1 (AUTHOR), Yang, Li-Juan1,2 (AUTHOR), Zhang, Xin3 (AUTHOR), Li, De-Min1,2 (AUTHOR), Guo, Yu1 (AUTHOR), Zhu, Jia-De1,2 (AUTHOR), Yin, Sun-Jun1 (AUTHOR) ysjkunming@163.com, He, Gong-Hao1 (AUTHOR) gonghow@hotmail.com |
| Source: | Technology & Health Care. Sep2025, Vol. 33 Issue 5, p2404-2415. 12p. |
| Database: | Academic Search Ultimate |
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| FullText | Links: – Type: pdflink Text: Availability: 1 |
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| Header | DbId: asn DbLabel: Academic Search Ultimate An: 187976191 AccessLevel: 2 PubType: Academic Journal PubTypeId: academicJournal PreciseRelevancyScore: 0 |
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| Items | – Name: Title Label: Title Group: Ti Data: Predicting survival rates of critically ill septic patients with heart failure using interpretable machine learning models. – Name: Author Label: Authors Group: Au Data: <searchLink fieldCode="AR" term="%22Yang%2C+Hai-Ying%22">Yang, Hai-Ying</searchLink><relatesTo>1,2</relatesTo> (AUTHOR)<br /><searchLink fieldCode="AR" term="%22Jiang%2C+Meng-Han%22">Jiang, Meng-Han</searchLink><relatesTo>1,2</relatesTo> (AUTHOR)<br /><searchLink fieldCode="AR" term="%22Yu%2C+Fang%22">Yu, Fang</searchLink><relatesTo>1</relatesTo> (AUTHOR)<br /><searchLink fieldCode="AR" term="%22Yang%2C+Li-Juan%22">Yang, Li-Juan</searchLink><relatesTo>1,2</relatesTo> (AUTHOR)<br /><searchLink fieldCode="AR" term="%22Zhang%2C+Xin%22">Zhang, Xin</searchLink><relatesTo>3</relatesTo> (AUTHOR)<br /><searchLink fieldCode="AR" term="%22Li%2C+De-Min%22">Li, De-Min</searchLink><relatesTo>1,2</relatesTo> (AUTHOR)<br /><searchLink fieldCode="AR" term="%22Guo%2C+Yu%22">Guo, Yu</searchLink><relatesTo>1</relatesTo> (AUTHOR)<br /><searchLink fieldCode="AR" term="%22Zhu%2C+Jia-De%22">Zhu, Jia-De</searchLink><relatesTo>1,2</relatesTo> (AUTHOR)<br /><searchLink fieldCode="AR" term="%22Yin%2C+Sun-Jun%22">Yin, Sun-Jun</searchLink><relatesTo>1</relatesTo> (AUTHOR)<i> ysjkunming@163.com</i><br /><searchLink fieldCode="AR" term="%22He%2C+Gong-Hao%22">He, Gong-Hao</searchLink><relatesTo>1</relatesTo> (AUTHOR)<i> gonghow@hotmail.com</i> – Name: TitleSource Label: Source Group: Src Data: <searchLink fieldCode="JN" term="%22Technology+%26+Health+Care%22">Technology & Health Care</searchLink>. Sep2025, Vol. 33 Issue 5, p2404-2415. 12p. |
| PLink | https://search.ebscohost.com/login.aspx?direct=true&site=eds-live&db=asn&AN=187976191 |
| RecordInfo | BibRecord: BibEntity: Identifiers: – Type: doi Value: 10.1177/09287329251346284 Languages: – Code: eng Text: English PhysicalDescription: Pagination: PageCount: 12 StartPage: 2404 Titles: – TitleFull: Predicting survival rates of critically ill septic patients with heart failure using interpretable machine learning models. Type: main BibRelationships: HasContributorRelationships: – PersonEntity: Name: NameFull: Yang, Hai-Ying – PersonEntity: Name: NameFull: Jiang, Meng-Han – PersonEntity: Name: NameFull: Yu, Fang – PersonEntity: Name: NameFull: Yang, Li-Juan – PersonEntity: Name: NameFull: Zhang, Xin – PersonEntity: Name: NameFull: Li, De-Min – PersonEntity: Name: NameFull: Guo, Yu – PersonEntity: Name: NameFull: Zhu, Jia-De – PersonEntity: Name: NameFull: Yin, Sun-Jun – PersonEntity: Name: NameFull: He, Gong-Hao IsPartOfRelationships: – BibEntity: Dates: – D: 01 M: 09 Text: Sep2025 Type: published Y: 2025 Identifiers: – Type: issn-print Value: 09287329 Numbering: – Type: volume Value: 33 – Type: issue Value: 5 Titles: – TitleFull: Technology & Health Care Type: main |
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