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

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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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An: 37055284
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PubType: Academic Journal
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  Data: Machine learning approach for predicting inhalation injury in patients with burns.
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  Data: <searchLink fieldCode="AU" term="%22Yang+SY%22">Yang SY</searchLink>; Department of Plastic and Reconstructive Surgery, Chang Gung Memorial Hospital, Linkou, College of Medicine, Chang Gung University, Taoyuan, Taiwan, ROC.<br /><searchLink fieldCode="AU" term="%22Huang+CJ%22">Huang CJ</searchLink>; Department of Plastic and Reconstructive Surgery, Chang Gung Memorial Hospital, Linkou, College of Medicine, Chang Gung University, Taoyuan, Taiwan, ROC.<br /><searchLink fieldCode="AU" term="%22Yen+CI%22">Yen CI</searchLink>; Department of Plastic and Reconstructive Surgery, Chang Gung Memorial Hospital, Linkou, College of Medicine, Chang Gung University, Taoyuan, Taiwan, ROC.<br /><searchLink fieldCode="AU" term="%22Kao+YC%22">Kao YC</searchLink>; Muen Biomedical and Optoelectronic Technologies Inc, China.<br /><searchLink fieldCode="AU" term="%22Hsiao+YC%22">Hsiao YC</searchLink>; Department of Plastic and Reconstructive Surgery, Chang Gung Memorial Hospital, Linkou, College of Medicine, Chang Gung University, Taoyuan, Taiwan, ROC.<br /><searchLink fieldCode="AU" term="%22Yang+JY%22">Yang JY</searchLink>; Department of Plastic and Reconstructive Surgery, Chang Gung Memorial Hospital, Linkou, College of Medicine, Chang Gung University, Taoyuan, Taiwan, ROC.<br /><searchLink fieldCode="AU" term="%22Chang+SY%22">Chang SY</searchLink>; Department of Plastic and Reconstructive Surgery, Chang Gung Memorial Hospital, Linkou, College of Medicine, Chang Gung University, Taoyuan, Taiwan, ROC.<br /><searchLink fieldCode="AU" term="%22Chuang+SS%22">Chuang SS</searchLink>; Department of Plastic and Reconstructive Surgery, Chang Gung Memorial Hospital, Linkou, College of Medicine, Chang Gung University, Taoyuan, Taiwan, ROC.<br /><searchLink fieldCode="AU" term="%22Chen+HC%22">Chen HC</searchLink>; 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.
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  Data: <searchLink fieldCode="JN" term="%228913178%22">Burns : journal of the International Society for Burn Injuries</searchLink> [Burns] 2023 Nov; Vol. 49 (7), pp. 1592-1601. <i>Date of Electronic Publication: </i>2023 Mar 22.
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  Data: <i>Publisher: </i><searchLink fieldCode="PB" term="%22Elsevier%22">Elsevier </searchLink><i>Country of Publication: </i>Netherlands <i>NLM ID: </i>8913178 <i>Publication Model: </i>Print-Electronic <i>Cited Medium: </i>Internet <i>ISSN: </i>1879-1409 (Electronic) <i>Linking ISSN: </i><searchLink fieldCode="IS" term="%2203054179%22">03054179 </searchLink><i>NLM ISO Abbreviation: </i>Burns <i>Subsets: </i>MEDLINE
PLink https://search.ebscohost.com/login.aspx?direct=true&site=eds-live&db=mdl&AN=37055284
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      – Type: doi
        Value: 10.1016/j.burns.2023.03.011
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      – Code: eng
        Text: English
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        StartPage: 1592
    Titles:
      – TitleFull: Machine learning approach for predicting inhalation injury in patients with burns.
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            NameFull: Yang SY
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            NameFull: Huang CJ
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            NameFull: Yen CI
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            NameFull: Kao YC
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            NameFull: Hsiao YC
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            NameFull: Yang JY
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            NameFull: Chang SY
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            NameFull: Chuang SS
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            NameFull: Chen HC
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            – D: 01
              M: 11
              Text: 2023 Nov
              Type: published
              Y: 2023
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              Value: 1879-1409
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              Value: 49
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              Value: 7
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            – TitleFull: Burns : journal of the International Society for Burn Injuries
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