Machine Learning Approach for Screening Cochlear Implant Candidates: Comparing With the 60/60 Guideline.

Patro, Ankita; Perkins, Elizabeth L; Ortega, Carlos A; Lindquist, Nathan R; Dawant, Benoit M; Gifford, René; Haynes, David S; Chowdhury, Naweed

Patro, Ankita; Perkins, Elizabeth L; Ortega, Carlos A; Lindquist, Nathan R; Dawant, Benoit M; Gifford, René; Haynes, David S; Chowdhury, Naweed.

Afiliação

Patro A; Department of Otolaryngology-Head and Neck Surgery, Vanderbilt University Medical Center.
Perkins EL; Department of Otolaryngology-Head and Neck Surgery, Vanderbilt University Medical Center.
Ortega CA; School of Medicine.
Lindquist NR; Department of Otolaryngology-Head and Neck Surgery, Vanderbilt University Medical Center.
Dawant BM; Department of Electrical Engineering and Computer Science, Vanderbilt University.
Gifford R; Department of Hearing and Speech Science, Vanderbilt University Medical Center, Nashville, Tennessee.
Haynes DS; Department of Otolaryngology-Head and Neck Surgery, Vanderbilt University Medical Center.
Chowdhury N; Department of Otolaryngology-Head and Neck Surgery, Vanderbilt University Medical Center.

Otol Neurotol ; 44(7): e486-e491, 2023 Aug 01.

Article em En | MEDLINE | ID: mdl-37400135

Assuntos

Implante Coclear; Implantes Cocleares; Adulto; Humanos; Estudos Retrospectivos; Implante Coclear/métodos; Aprendizado de Máquina; Seleção de Pacientes

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Texto completo: 1 Base de dados: MEDLINE Assunto principal: Implantes Cocleares / Implante Coclear Tipo de estudo: Diagnostic_studies / Guideline / Observational_studies / Prognostic_studies / Risk_factors_studies / Screening_studies Limite: Adult / Humans Idioma: En Ano de publicação: 2023 Tipo de documento: Article

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