Development and Assessment of a Machine Learning Model to Help Predict Survival Among Patients With Oral Squamous Cell Carcinoma
Author:
Affiliation:
1. Department of Otolaryngology–Head and Neck Surgery, University of Kansas Medical Center, Kansas City
2. University of Kansas Medical Center, School of Medicine, Kansas City
Publisher
American Medical Association (AMA)
Subject
Otorhinolaryngology,Surgery
Link
https://jamanetwork.com/journals/jamaotolaryngology/articlepdf/2732847/jamaotolaryngology_karadaghy_2019_oi_190021.pdf
Reference36 articles.
1. Presentation, treatment, and outcome of oral cavity cancer: a National Cancer Data Base report.;Funk;Head Neck,2002
2. Essentials of oral cancer.;Rivera;Int J Clin Exp Pathol,2015
3. Adjuvant radiation for T1-2N1 oral cavity cancer survival outcomes and utilization treatment trends: analysis of the SEER database.;Torrecillas;Oral Oncol,2018
4. Expression of Bcl-2 family proteins and associated clinicopathologic factors predict survival outcome in patients with oral squamous cell carcinoma.;Camisasca;Oral Oncol,2009
5. Women and squamous cell carcinomas of the oral cavity and oropharynx: is there something new?;Girod;J Oral Maxillofac Surg,2009
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