Machine learning approach for predicting inhalation injury in patients with burns.

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Bibliographic Details
Title: Machine learning approach for predicting inhalation injury in patients with burns.
Authors: Yang SY; Department of Plastic and Reconstructive Surgery, Chang Gung Memorial Hospital, Linkou, College of Medicine, Chang Gung University, Taoyuan, Taiwan, ROC., Huang CJ; Department of Plastic and Reconstructive Surgery, Chang Gung Memorial Hospital, Linkou, College of Medicine, Chang Gung University, Taoyuan, Taiwan, ROC., Yen CI; Department of Plastic and Reconstructive Surgery, Chang Gung Memorial Hospital, Linkou, College of Medicine, Chang Gung University, Taoyuan, Taiwan, ROC., Kao YC; Muen Biomedical and Optoelectronic Technologies Inc, China., Hsiao YC; Department of Plastic and Reconstructive Surgery, Chang Gung Memorial Hospital, Linkou, College of Medicine, Chang Gung University, Taoyuan, Taiwan, ROC., Yang JY; Department of Plastic and Reconstructive Surgery, Chang Gung Memorial Hospital, Linkou, College of Medicine, Chang Gung University, Taoyuan, Taiwan, ROC., Chang SY; Department of Plastic and Reconstructive Surgery, Chang Gung Memorial Hospital, Linkou, College of Medicine, Chang Gung University, Taoyuan, Taiwan, ROC., Chuang SS; Department of Plastic and Reconstructive Surgery, Chang Gung Memorial Hospital, Linkou, College of Medicine, Chang Gung University, Taoyuan, Taiwan, ROC., Chen HC; Department of Plastic and Reconstructive Surgery, Chang Gung Memorial Hospital, Linkou, College of Medicine, Chang Gung University, Taoyuan, Taiwan, ROC. Electronic address: firepigtw@gmail.com.
Source: Burns : journal of the International Society for Burn Injuries [Burns] 2023 Nov; Vol. 49 (7), pp. 1592-1601. Date of Electronic Publication: 2023 Mar 22.
Publication Type: Journal Article
Journal Info: Publisher: Elsevier Country of Publication: Netherlands NLM ID: 8913178 Publication Model: Print-Electronic Cited Medium: Internet ISSN: 1879-1409 (Electronic) Linking ISSN: 03054179 NLM ISO Abbreviation: Burns Subsets: MEDLINE
Database: MEDLINE Ultimate
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