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Machine Learning for Predictive Analysis of Otolaryngology Residency Letters of Recommendation.

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Title: Machine Learning for Predictive Analysis of Otolaryngology Residency Letters of Recommendation.
Authors: Vasan V; Department of Otolaryngology-Head and Neck Surgery, Icahn School of Medicine at Mount Sinai, New York, New York, U.S.A., Cheng CP; Department of Otolaryngology-Head and Neck Surgery, Icahn School of Medicine at Mount Sinai, New York, New York, U.S.A., Lerner DK; Department of Otolaryngology-Head and Neck Surgery, Icahn School of Medicine at Mount Sinai, New York, New York, U.S.A.; Department of Otolaryngology-Head & Neck Surgery, University of Miami Miller School of Medicine, Miami, Florida, U.S.A., Pascual K; Department of Otolaryngology-Head and Neck Surgery, Icahn School of Medicine at Mount Sinai, New York, New York, U.S.A., Mercado A; Department of Otolaryngology-Head and Neck Surgery, Icahn School of Medicine at Mount Sinai, New York, New York, U.S.A., Iloreta AM; Department of Otolaryngology-Head and Neck Surgery, Icahn School of Medicine at Mount Sinai, New York, New York, U.S.A., Teng MS; Department of Otolaryngology-Head and Neck Surgery, Icahn School of Medicine at Mount Sinai, New York, New York, U.S.A.
Source: The Laryngoscope [Laryngoscope] 2024 Sep; Vol. 134 (9), pp. 4016-4022. Date of Electronic Publication: 2024 Apr 11.
Publication Type: Journal Article
Journal Info: Publisher: Wiley-Blackwell Country of Publication: United States NLM ID: 8607378 Publication Model: Print-Electronic Cited Medium: Internet ISSN: 1531-4995 (Electronic) Linking ISSN: 0023852X NLM ISO Abbreviation: Laryngoscope Subsets: MEDLINE
Database: MEDLINE Ultimate
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  Data: Machine Learning for Predictive Analysis of Otolaryngology Residency Letters of Recommendation.
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  Data: <searchLink fieldCode="AU" term="%22Vasan+V%22">Vasan V</searchLink>; Department of Otolaryngology-Head and Neck Surgery, Icahn School of Medicine at Mount Sinai, New York, New York, U.S.A.<br /><searchLink fieldCode="AU" term="%22Cheng+CP%22">Cheng CP</searchLink>; Department of Otolaryngology-Head and Neck Surgery, Icahn School of Medicine at Mount Sinai, New York, New York, U.S.A.<br /><searchLink fieldCode="AU" term="%22Lerner+DK%22">Lerner DK</searchLink>; Department of Otolaryngology-Head and Neck Surgery, Icahn School of Medicine at Mount Sinai, New York, New York, U.S.A.; Department of Otolaryngology-Head & Neck Surgery, University of Miami Miller School of Medicine, Miami, Florida, U.S.A.<br /><searchLink fieldCode="AU" term="%22Pascual+K%22">Pascual K</searchLink>; Department of Otolaryngology-Head and Neck Surgery, Icahn School of Medicine at Mount Sinai, New York, New York, U.S.A.<br /><searchLink fieldCode="AU" term="%22Mercado+A%22">Mercado A</searchLink>; Department of Otolaryngology-Head and Neck Surgery, Icahn School of Medicine at Mount Sinai, New York, New York, U.S.A.<br /><searchLink fieldCode="AU" term="%22Iloreta+AM%22">Iloreta AM</searchLink>; Department of Otolaryngology-Head and Neck Surgery, Icahn School of Medicine at Mount Sinai, New York, New York, U.S.A.<br /><searchLink fieldCode="AU" term="%22Teng+MS%22">Teng MS</searchLink>; Department of Otolaryngology-Head and Neck Surgery, Icahn School of Medicine at Mount Sinai, New York, New York, U.S.A.
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        Value: 10.1002/lary.31439
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        Text: English
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      – TitleFull: Machine Learning for Predictive Analysis of Otolaryngology Residency Letters of Recommendation.
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            NameFull: Vasan V
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            NameFull: Cheng CP
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              M: 09
              Text: 2024 Sep
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              Y: 2024
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              Value: 134
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              Value: 9
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