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Dietary Habits and Daily Routines as Prognostic Factors in Endometrial Cancer: A Machine Learning Approach
Division of Neonatology, Obstetrics and Gynaecology, Department of Women's and Children's Health, Karolinska Institutet, Stockholm, Sweden.
Division of Neonatology, Obstetrics and Gynaecology, Department of Women's and Children's Health, Karolinska Institutet, Stockholm, Sweden.
Division of Neonatology, Obstetrics and Gynaecology, Department of Women's and Children's Health, Karolinska Institutet, Stockholm, Sweden; Institute of Perinatology and Pediatrics, Almazov National Medical Research Centre, St. Petersburg, Russia.
Örebro University, School of Medical Sciences. Örebro University Hospital. Division of Neonatology, Obstetrics and Gynaecology, Department of Women's and Children's Health, Karolinska Institutet, Stockholm, Sweden.
2023 (English)In: Nutrition and Cancer, ISSN 0163-5581, E-ISSN 1532-7914, Vol. 75, no 1, p. 310-319Article in journal (Refereed) Published
Abstract [en]

Endometrial cancer (EC) is becoming more common worldwide, primarily due to an increase in life expectancy and obesity. As several modifiable factors may affect EC incidence and progression, we aimed to elucidate how dietary habits and daily routines influence recurrence and survival among women with EC, using a Random Survival Forest (RSF) approach. 481 women who previously underwent hysterectomy due to EC completed two extensive questionnaires on dietary habits and daily routines, and we used RSF to identify risky or protective variables. Among the 186 variables considered, consumption of sugar-sweetened beverages and fried potatoes increased the risk of EC recurrence and death, while physical activity decreased the risk of death. We conclude that RSF is a suitable approach to study survival in multivariable datasets.

Place, publisher, year, edition, pages
Routledge, 2023. Vol. 75, no 1, p. 310-319
National Category
Cancer and Oncology
Identifiers
URN: urn:nbn:se:oru:diva-101426DOI: 10.1080/01635581.2022.2112241ISI: 000854116000001PubMedID: 36104928Scopus ID: 2-s2.0-85138236083OAI: oai:DiVA.org:oru-101426DiVA, id: diva2:1698412
Funder
Stockholm County Council, FoUI-953093Swedish Research Council, OLL 935942Available from: 2022-09-23 Created: 2022-09-23 Last updated: 2023-12-08Bibliographically approved

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Mints, Miriam

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