An explainable machine learning framework for lung cancer hospital length of stay prediction.

Alsinglawi, Belal; Alshari, Osama; Alorjani, Mohammed; Mubin, Omar; Alnajjar, Fady; Novoa, Mauricio; Darwish, Omar

Alsinglawi, Belal; Alshari, Osama; Alorjani, Mohammed; Mubin, Omar; Alnajjar, Fady; Novoa, Mauricio; Darwish, Omar.

Afiliación

Alsinglawi B; School of Computer, Data and Mathematical Sciences, Western Sydney University, Rydalmere, 2116, NSW, Australia.
Alshari O; Oncology Division, Department of Internal Medicine, Faculty of Medicine, Jordan University of Science and Technology, Irbid, Jordan.
Alorjani M; Department of Pathology and Microbiology, Faculty of Medicine, Jordan University of Science and Technology, Irbid, Jordan.
Mubin O; School of Computer, Data and Mathematical Sciences, Western Sydney University, Rydalmere, 2116, NSW, Australia.
Alnajjar F; College of Information Technology, UAE University, Al-Ain, UAE. fady.alnajjar@uaeu.ac.ae.
Novoa M; The School of Engineering, Design and Built Environment, Western Sydney University, Rydalmere, 2116, NSW, Australia.
Darwish O; Department of Information Security and Applied Computing, Eastern Michigan University, Michigan, 48197, USA.

Sci Rep ; 12(1): 607, 2022 01 12.

Article en En | MEDLINE | ID: mdl-35022512

Asunto(s)

Tiempo de Internación; Neoplasias Pulmonares; Aprendizaje Automático; Humanos

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Texto completo: 1 Colección: 01-internacional Base de datos: MEDLINE Asunto principal: Aprendizaje Automático / Tiempo de Internación / Neoplasias Pulmonares Tipo de estudio: Evaluation_studies / Prognostic_studies / Risk_factors_studies Límite: Humans Idioma: En Revista: Sci Rep Año: 2022 Tipo del documento: Article País de afiliación: Australia Pais de publicación: Reino Unido

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