Development and validation of a prognostic prediction model for patients with traumatic multiple fractures and hemorrhagic shock using an Automated Machine Learning framework: a retrospective cohort study.
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| Title: | Development and validation of a prognostic prediction model for patients with traumatic multiple fractures and hemorrhagic shock using an Automated Machine Learning framework: a retrospective cohort study. |
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| Authors: | Han T; Department of Emergency, Ya'an Polytechnic College Affiliated Hospital, Ya'an, Sichuan, China., Li Y; Faculty of Clinical Medicine, Ya'an Polytechnic College, Ya'an, Sichuan, China., Mu X; Department of Emergency, Ya'an People's Hospital, Ya'an, Sichuan, China., Wu P; Department of Emergency, Yucheng District People's Hospital of Ya'an, Ya'an, Sichuan, China., Zhang Z; Department of Emergency, Mingshan District People's Hospital of Ya'an, Ya'an, Sichuan, China., Zhang L; Department of Emergency, Ya'an Hospital of Traditional Chinese Medicine, Ya'an, Sichuan, China., Liang Z; Department of Surgery, Ya'an Renkang Hospital, Ya'an, Sichuan, China., Li L; Department of Emergency and Critical Care Medicine, The 945th Hospital of the Joint Logistics Support Force of the Chinese People's Liberation Army, Ya'an, Sichuan, China. |
| Source: | Frontiers in medicine [Front Med (Lausanne)] 2026 Jun 10; Vol. 13, pp. 1837872. Date of Electronic Publication: 2026 Jun 10 (Print Publication: 2026). |
| Publication Type: | Journal Article |
| Journal Info: | Publisher: Frontiers Media S.A Country of Publication: Switzerland NLM ID: 101648047 Publication Model: eCollection Cited Medium: Print ISSN: 2296-858X (Print) Linking ISSN: 2296858X NLM ISO Abbreviation: Front Med (Lausanne) Subsets: PubMed not MEDLINE |
| Database: | MEDLINE Ultimate |
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| ISSN: | 2296-858X |
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| DOI: | 10.3389/fmed.2026.1837872 |
