Advanced-stage tongue squamous cell carcinoma: a machine learning model for risk stratification and treatment planning.

Alabi, Rasheed Omobolaji; Elmusrati, Mohammed; Leivo, Ilmo; Almangush, Alhadi; Mäkitie, Antti A

Alabi, Rasheed Omobolaji; Elmusrati, Mohammed; Leivo, Ilmo; Almangush, Alhadi; Mäkitie, Antti A.

Affiliation

Alabi RO; Research Program in Systems Oncology, Faculty of Medicine, University of Helsinki, Helsinki, Finland.
Elmusrati M; Department of Industrial Digitalization, School of Technology and Innovations, University of Vaasa, Vaasa, Finland.
Leivo I; Department of Industrial Digitalization, School of Technology and Innovations, University of Vaasa, Vaasa, Finland.
Almangush A; Institute of Biomedicine, Pathology, University of Turku, Turku, Finland.
Mäkitie AA; Research Program in Systems Oncology, Faculty of Medicine, University of Helsinki, Helsinki, Finland.

Acta Otolaryngol ; 143(3): 206-214, 2023 Mar.

Article in En | MEDLINE | ID: mdl-36794334

Subject(s)

Carcinoma, Squamous Cell; Machine Learning; Tongue Neoplasms; Humans; Carcinoma, Squamous Cell/mortality; Carcinoma, Squamous Cell/pathology; Carcinoma, Squamous Cell/therapy; Chemoradiotherapy/methods; Neoplasm Staging; Risk Assessment; Tongue/pathology; Tongue/surgery; Tongue Neoplasms/mortality; Tongue Neoplasms/pathology; Tongue Neoplasms/therapy; Computer Simulation; SEER Program; United States; Databases, Factual

Key words

SEER; Tongue cancer; chemoradiotherapy; machine learning; overall survival; radiation; radiotherapy; surgery

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Full text: 1 Collection: 01-internacional Database: MEDLINE Main subject: Tongue Neoplasms / Carcinoma, Squamous Cell / Machine Learning Type of study: Etiology_studies / Prognostic_studies / Risk_factors_studies Limits: Humans Country/Region as subject: America do norte Language: En Journal: Acta Otolaryngol Year: 2023 Document type: Article Affiliation country: Finland Country of publication: United kingdom

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