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Development and Assessment of a Machine Learning Model to Help Predict Survival Among Patients With Oral Squamous Cell Carcinoma.
Karadaghy, Omar A; Shew, Matthew; New, Jacob; Bur, Andrés M.
Affiliation
  • Karadaghy OA; Department of Otolaryngology-Head and Neck Surgery, University of Kansas Medical Center, Kansas City.
  • Shew M; Department of Otolaryngology-Head and Neck Surgery, University of Kansas Medical Center, Kansas City.
  • New J; University of Kansas Medical Center, School of Medicine, Kansas City.
  • Bur AM; Department of Otolaryngology-Head and Neck Surgery, University of Kansas Medical Center, Kansas City.
JAMA Otolaryngol Head Neck Surg ; 145(12): 1115-1120, 2019 12 01.
Article in En | MEDLINE | ID: mdl-31045212
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Full text: 1 Collection: 01-internacional Database: MEDLINE Main subject: Algorithms / Mouth Neoplasms / Carcinoma, Squamous Cell / Risk Assessment / Machine Learning Type of study: Diagnostic_studies / Etiology_studies / Observational_studies / Prognostic_studies / Risk_factors_studies Limits: Female / Humans / Male / Middle aged Country/Region as subject: America do norte Language: En Journal: JAMA Otolaryngol Head Neck Surg Year: 2019 Type: Article
Fulltext
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PubMed Links
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Full text: 1 Collection: 01-internacional Database: MEDLINE Main subject: Algorithms / Mouth Neoplasms / Carcinoma, Squamous Cell / Risk Assessment / Machine Learning Type of study: Diagnostic_studies / Etiology_studies / Observational_studies / Prognostic_studies / Risk_factors_studies Limits: Female / Humans / Male / Middle aged Country/Region as subject: America do norte Language: En Journal: JAMA Otolaryngol Head Neck Surg Year: 2019 Type: Article