Machine learning-based prediction of bleeding risk in extracorporeal membrane oxygenation patients using transfusion as a surrogate marker.
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| Title: | Machine learning-based prediction of bleeding risk in extracorporeal membrane oxygenation patients using transfusion as a surrogate marker. |
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| Authors: | Kamio T; Department of Anesthesiology and Critical Care Medicine, Jichi Medical University Saitama Medical Center, Saitama, Japan.; Division of Critical Care, Shonan Kamakura General Hospital, Kamakura, Kanagawa, Japan., Ikegami M; Terumo Corporation, Shonan Center, Nakai-machi, Kanagawa, Japan., Mizuno M; Terumo Corporation, Shonan Center, Nakai-machi, Kanagawa, Japan., Ishii S; Terumo Corporation, Shonan Center, Nakai-machi, Kanagawa, Japan., Tajima H; Terumo Corporation, Shonan Center, Nakai-machi, Kanagawa, Japan., Machida Y; Terumo Corporation, Shonan Center, Nakai-machi, Kanagawa, Japan., Fukaguchi K; Division of Critical Care, Shonan Kamakura General Hospital, Kamakura, Kanagawa, Japan. |
| Source: | Transfusion [Transfusion] 2025 Jun; Vol. 65 (6), pp. 1051-1060. Date of Electronic Publication: 2025 Apr 25. |
| Publication Type: | Journal Article |
| Journal Info: | Publisher: American Association Of Blood Banks Country of Publication: United States NLM ID: 0417360 Publication Model: Print-Electronic Cited Medium: Internet ISSN: 1537-2995 (Electronic) Linking ISSN: 00411132 NLM ISO Abbreviation: Transfusion Subsets: MEDLINE |
| Database: | MEDLINE Ultimate |
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