Development and Validation of an Early Risk Prediction Model for Sepsis-Induced Coagulopathy Based on Machine Learning.

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Title: Development and Validation of an Early Risk Prediction Model for Sepsis-Induced Coagulopathy Based on Machine Learning.
Authors: Yang Q; Department of Pharmacy, Wuhan Third Hospital (Tongren Hospital of Wuhan University), Wuhan, Hubei, China., Fang L; Department of Pharmacy, Wuhan Third Hospital (Tongren Hospital of Wuhan University), Wuhan, Hubei, China.; Faculty of Medicine, Wuhan University of Science and Technology, Wuhan, Hubei, China., Ren C; Department of Pharmacy, Wuhan Third Hospital (Tongren Hospital of Wuhan University), Wuhan, Hubei, China.; School of Pharmacy, Hubei University of Medicine, Shiyan, Hubei, China., Xiong W; Department of Pharmacy, Wuhan Third Hospital (Tongren Hospital of Wuhan University), Wuhan, Hubei, China., Zou J; Department of Pharmacy, Wuhan Third Hospital (Tongren Hospital of Wuhan University), Wuhan, Hubei, China.; Faculty of Medicine, Wuhan University of Science and Technology, Wuhan, Hubei, China., Yang L; Department of Critical Care Medicine, Wuhan Third Hospital (Tongren Hospital of Wuhan University), Wuhan, Hubei, China., Zeng Q; Department of Pharmacy, Wuhan Third Hospital (Tongren Hospital of Wuhan University), Wuhan, Hubei, China.
Source: Clinical and applied thrombosis/hemostasis : official journal of the International Academy of Clinical and Applied Thrombosis/Hemostasis [Clin Appl Thromb Hemost] 2026 Jan-Dec; Vol. 32, pp. 10760296261468959. Date of Electronic Publication: 2026 Jul 20.
Publication Type: Journal Article
Journal Info: Publisher: Sage Publications Country of Publication: United States NLM ID: 9508125 Publication Model: Print-Electronic Cited Medium: Internet ISSN: 1938-2723 (Electronic) Linking ISSN: 10760296 NLM ISO Abbreviation: Clin Appl Thromb Hemost Subsets: MEDLINE
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  Data: Development and Validation of an Early Risk Prediction Model for Sepsis-Induced Coagulopathy Based on Machine Learning.
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  Data: <searchLink fieldCode="AU" term="%22Yang+Q%22">Yang Q</searchLink>; Department of Pharmacy, Wuhan Third Hospital (Tongren Hospital of Wuhan University), Wuhan, Hubei, China.<br /><searchLink fieldCode="AU" term="%22Fang+L%22">Fang L</searchLink>; Department of Pharmacy, Wuhan Third Hospital (Tongren Hospital of Wuhan University), Wuhan, Hubei, China.; Faculty of Medicine, Wuhan University of Science and Technology, Wuhan, Hubei, China.<br /><searchLink fieldCode="AU" term="%22Ren+C%22">Ren C</searchLink>; Department of Pharmacy, Wuhan Third Hospital (Tongren Hospital of Wuhan University), Wuhan, Hubei, China.; School of Pharmacy, Hubei University of Medicine, Shiyan, Hubei, China.<br /><searchLink fieldCode="AU" term="%22Xiong+W%22">Xiong W</searchLink>; Department of Pharmacy, Wuhan Third Hospital (Tongren Hospital of Wuhan University), Wuhan, Hubei, China.<br /><searchLink fieldCode="AU" term="%22Zou+J%22">Zou J</searchLink>; Department of Pharmacy, Wuhan Third Hospital (Tongren Hospital of Wuhan University), Wuhan, Hubei, China.; Faculty of Medicine, Wuhan University of Science and Technology, Wuhan, Hubei, China.<br /><searchLink fieldCode="AU" term="%22Yang+L%22">Yang L</searchLink>; Department of Critical Care Medicine, Wuhan Third Hospital (Tongren Hospital of Wuhan University), Wuhan, Hubei, China.<br /><searchLink fieldCode="AU" term="%22Zeng+Q%22">Zeng Q</searchLink>; Department of Pharmacy, Wuhan Third Hospital (Tongren Hospital of Wuhan University), Wuhan, Hubei, China.
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  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>9508125 <i>Publication Model: </i>Print-Electronic <i>Cited Medium: </i>Internet <i>ISSN: </i>1938-2723 (Electronic) <i>Linking ISSN: </i><searchLink fieldCode="IS" term="%2210760296%22">10760296 </searchLink><i>NLM ISO Abbreviation: </i>Clin Appl Thromb Hemost <i>Subsets: </i>MEDLINE
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      – TitleFull: Development and Validation of an Early Risk Prediction Model for Sepsis-Induced Coagulopathy Based on Machine Learning.
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              Text: 2026 Jan-Dec
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