A machine learning-based prediction model for in-hospital mortality in ICU patients with acute rhinosinusitis: A multi-database study using SHAP interpretability.
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| Title: | A machine learning-based prediction model for in-hospital mortality in ICU patients with acute rhinosinusitis: A multi-database study using SHAP interpretability. |
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| Authors: | Sun M; Department of Otolaryngology, The First Affiliated Hospital of Chengdu Medical College, Chengdu China., Wang L; Department of Otolaryngology, The First Affiliated Hospital of Chengdu Medical College, Chengdu China., Yang J; Experimental Teaching Center of Biotechnology, School of Bioscience and Technology, Chengdu Medical College, Chengdu, China.; Key Laboratory of Target Discovery and Protein Drug Development in Major Diseases at Chengdu Medical College of Sichuan Province, Chengdu, China.; Irradiation Preservation and Effect Key Laboratory of Sichuan Province, Chengdu, China. |
| Source: | Medicine [Medicine (Baltimore)] 2026 Apr 24; Vol. 105 (17), pp. e48376. |
| Publication Type: | Journal Article |
| Journal Info: | Publisher: Lippincott Williams & Wilkins Country of Publication: United States NLM ID: 2985248R Publication Model: Print Cited Medium: Internet ISSN: 1536-5964 (Electronic) Linking ISSN: 00257974 NLM ISO Abbreviation: Medicine (Baltimore) Subsets: MEDLINE |
| Database: | MEDLINE Ultimate |
| ISSN: | 1536-5964 |
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| DOI: | 10.1097/MD.0000000000048376 |
