Novel Machine Learning Model to Predict Interval of Oral Cancer Recurrence for Surveillance Stratification.

Bourdillon, Alexandra T; Shah, Hemali P; Cohen, Oded; Hajek, Michael A; Mehra, Saral

Bourdillon, Alexandra T; Shah, Hemali P; Cohen, Oded; Hajek, Michael A; Mehra, Saral.

Afiliação

Bourdillon AT; Yale University School of Medicine, New Haven, Connecticut, U.S.A.
Shah HP; Yale University School of Medicine, New Haven, Connecticut, U.S.A.
Cohen O; Division of Otolaryngology-Head and Neck Surgery, Department of Surgery, Yale University School of Medicine, New Haven, Connecticut, U.S.A.
Hajek MA; Division of Otolaryngology-Head and Neck Surgery, Department of Surgery, Yale University School of Medicine, New Haven, Connecticut, U.S.A.
Mehra S; Division of Otolaryngology-Head and Neck Surgery, Department of Surgery, Yale University School of Medicine, New Haven, Connecticut, U.S.A.

Laryngoscope ; 133(7): 1652-1659, 2023 Jul.

Article em En | MEDLINE | ID: mdl-36054545

Assuntos

Carcinoma de Células Escamosas; Neoplasias Bucais; Humanos; Neoplasias Bucais/patologia; Estudos Retrospectivos; Aprendizado de Máquina; Redes Neurais de Computação

Palavras-chave

machine learning; oral cancer; recurrence; surveillance

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Texto completo: 1 Coleções: 01-internacional Base de dados: MEDLINE Assunto principal: Neoplasias Bucais / Carcinoma de Células Escamosas Tipo de estudo: Prognostic_studies / Risk_factors_studies / Screening_studies Limite: Humans Idioma: En Ano de publicação: 2023 Tipo de documento: Article

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