Development and validation of web-based, interpretable predictive models for sepsis and mortality in extensive burns.

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Title: Development and validation of web-based, interpretable predictive models for sepsis and mortality in extensive burns.
Authors: Wang SQ; Department of Burns and Plastic Surgery, Jinling Hospital, Jinling Clinical Medical College, Nanjing University of Chinese Medicine, Nanjing, Jiangsu, China.; Department of Burns and Plastic Surgery, Jinling Hospital, Affiliated Hospital of Medical School, Nanjing University, Nanjing, Jiangsu, China., Qiu K; Department of Burns and Plastic Surgery, Anqing Petrochemical Hospital, Nanjing Drum Tower Hospital Group, Anqing, Anhui, China., Zheng QR; School of Computer Science, Peking University, Beijing, China., Zhou BJ; Southeast University School of Medicine, Nanjing, Jiangsu, China., Li MY; Department of Burns and Plastic Surgery, Jinling Hospital, Affiliated Hospital of Medical School, Nanjing University, Nanjing, Jiangsu, China., Zhong HY; Department of Burns and Plastic Surgery, Jinling Hospital, Jinling Clinical Medical College, Nanjing University of Chinese Medicine, Nanjing, Jiangsu, China., Chen Y; Department of Burns and Plastic Surgery, Jinling Hospital, Jinling Clinical Medical College, Nanjing University of Chinese Medicine, Nanjing, Jiangsu, China., Yuan SM; Department of Burns and Plastic Surgery, Jinling Hospital, Jinling Clinical Medical College, Nanjing University of Chinese Medicine, Nanjing, Jiangsu, China.; Department of Burns and Plastic Surgery, Jinling Hospital, Affiliated Hospital of Medical School, Nanjing University, Nanjing, Jiangsu, China.
Source: Frontiers in cellular and infection microbiology [Front Cell Infect Microbiol] 2025 Aug 18; Vol. 15, pp. 1586087. Date of Electronic Publication: 2025 Aug 18 (Print Publication: 2025).
Publication Type: Journal Article; Validation Study
Journal Info: Publisher: Frontiers Media SA Country of Publication: Switzerland NLM ID: 101585359 Publication Model: eCollection Cited Medium: Internet ISSN: 2235-2988 (Electronic) Linking ISSN: 22352988 NLM ISO Abbreviation: Front Cell Infect Microbiol Subsets: MEDLINE
Database: MEDLINE Ultimate
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ISSN:2235-2988
DOI:10.3389/fcimb.2025.1586087