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Predicting reoperation and readmission for head and neck free flap patients using machine learning.

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Title: Predicting reoperation and readmission for head and neck free flap patients using machine learning.
Authors: Wang SY; Department of Otolaryngology - Head and Neck Surgery, University of Pennsylvania, Philadelphia, Pennsylvania, USA., Barrette LX; Department of Otolaryngology - Head and Neck Surgery, University of Pennsylvania, Philadelphia, Pennsylvania, USA.; Leonard Davis Institute of Health Economics, University of Pennsylvania, Philadelphia, Pennsylvania, USA., Ng JJ; Department of Otolaryngology - Head and Neck Surgery, University of Pennsylvania, Philadelphia, Pennsylvania, USA., Sangal NR; Department of Otolaryngology - Head and Neck Surgery, University of Pennsylvania, Philadelphia, Pennsylvania, USA., Cannady SB; Department of Otolaryngology - Head and Neck Surgery, University of Pennsylvania, Philadelphia, Pennsylvania, USA., Brody RM; Department of Otolaryngology - Head and Neck Surgery, University of Pennsylvania, Philadelphia, Pennsylvania, USA.; Corporal Michael J. Crescenz VAMC, Philadelphia, Pennsylvania, USA., Bur AM; Department of Otolaryngology - Head and Neck Surgery, University of Kansas Medical Center, Kansas City, Kansas, USA., Brant JA; Department of Otolaryngology - Head and Neck Surgery, University of Pennsylvania, Philadelphia, Pennsylvania, USA.; Corporal Michael J. Crescenz VAMC, Philadelphia, Pennsylvania, USA.
Source: Head & neck [Head Neck] 2024 Aug; Vol. 46 (8), pp. 1999-2009. Date of Electronic Publication: 2024 Feb 15.
Publication Type: Journal Article
Journal Info: Publisher: John Wiley And Sons Country of Publication: United States NLM ID: 8902541 Publication Model: Print-Electronic Cited Medium: Internet ISSN: 1097-0347 (Electronic) Linking ISSN: 10433074 NLM ISO Abbreviation: Head Neck Subsets: MEDLINE
Database: MEDLINE Ultimate
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  Data: Predicting reoperation and readmission for head and neck free flap patients using machine learning.
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  Data: <searchLink fieldCode="AU" term="%22Wang+SY%22">Wang SY</searchLink>; Department of Otolaryngology - Head and Neck Surgery, University of Pennsylvania, Philadelphia, Pennsylvania, USA.<br /><searchLink fieldCode="AU" term="%22Barrette+LX%22">Barrette LX</searchLink>; Department of Otolaryngology - Head and Neck Surgery, University of Pennsylvania, Philadelphia, Pennsylvania, USA.; Leonard Davis Institute of Health Economics, University of Pennsylvania, Philadelphia, Pennsylvania, USA.<br /><searchLink fieldCode="AU" term="%22Ng+JJ%22">Ng JJ</searchLink>; Department of Otolaryngology - Head and Neck Surgery, University of Pennsylvania, Philadelphia, Pennsylvania, USA.<br /><searchLink fieldCode="AU" term="%22Sangal+NR%22">Sangal NR</searchLink>; Department of Otolaryngology - Head and Neck Surgery, University of Pennsylvania, Philadelphia, Pennsylvania, USA.<br /><searchLink fieldCode="AU" term="%22Cannady+SB%22">Cannady SB</searchLink>; Department of Otolaryngology - Head and Neck Surgery, University of Pennsylvania, Philadelphia, Pennsylvania, USA.<br /><searchLink fieldCode="AU" term="%22Brody+RM%22">Brody RM</searchLink>; Department of Otolaryngology - Head and Neck Surgery, University of Pennsylvania, Philadelphia, Pennsylvania, USA.; Corporal Michael J. Crescenz VAMC, Philadelphia, Pennsylvania, USA.<br /><searchLink fieldCode="AU" term="%22Bur+AM%22">Bur AM</searchLink>; Department of Otolaryngology - Head and Neck Surgery, University of Kansas Medical Center, Kansas City, Kansas, USA.<br /><searchLink fieldCode="AU" term="%22Brant+JA%22">Brant JA</searchLink>; Department of Otolaryngology - Head and Neck Surgery, University of Pennsylvania, Philadelphia, Pennsylvania, USA.; Corporal Michael J. Crescenz VAMC, Philadelphia, Pennsylvania, USA.
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      – Type: doi
        Value: 10.1002/hed.27690
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      – Code: eng
        Text: English
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        StartPage: 1999
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      – TitleFull: Predicting reoperation and readmission for head and neck free flap patients using machine learning.
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              M: 08
              Text: 2024 Aug
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              Y: 2024
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