Dietary Habits and Daily Routines as Prognostic Factors in Endometrial Cancer: A Machine Learning Approach.

Castro Wersäll, Ofra; Razumova, Zoia; Govorov, Igor; Mints, Miriam

Castro Wersäll, Ofra; Razumova, Zoia; Govorov, Igor; Mints, Miriam.

Afiliación

Castro Wersäll O; Division of Neonatology, Obstetrics and Gynaecology, Department of Women's and Children's Health, Karolinska Institutet, Stockholm, Sweden.
Razumova Z; Division of Neonatology, Obstetrics and Gynaecology, Department of Women's and Children's Health, Karolinska Institutet, Stockholm, Sweden.
Govorov I; Division of Neonatology, Obstetrics and Gynaecology, Department of Women's and Children's Health, Karolinska Institutet, Stockholm, Sweden.
Mints M; Institute of Perinatology and Pediatrics, Almazov National Medical Research Centre, St. Petersburg, Russia.

Nutr Cancer ; 75(1): 310-319, 2023.

Article en En | MEDLINE | ID: mdl-36104928

Asunto(s)

Neoplasias Endometriales; Conducta Alimentaria; Femenino; Humanos; Pronóstico; Obesidad/complicaciones; Obesidad/epidemiología; Neoplasias Endometriales/cirugía; Neoplasias Endometriales/epidemiología; Aprendizaje Automático; Bebidas

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Texto completo: 1 Colección: 01-internacional Banco de datos: MEDLINE Asunto principal: Neoplasias Endometriales / Conducta Alimentaria Tipo de estudio: Prognostic_studies Límite: Female / Humans Idioma: En Revista: Nutr Cancer Año: 2023 Tipo del documento: Article País de afiliación: Suecia

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