A machine learning approach to predict self-efficacy in breast cancer survivors

A machine learning approach to predict self-efficacy in breast cancer survivors

Abstract Purpose To determine predictors of self-efficacy in breast cancer survivors and identify vulnerable groups. Methods This descriptive study was conducted between November 2023 and April 2024 at three hospitals in Türkiye and involved 430 breast cancer survivors. Data were collected through f...

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Bibliographic Details
Main Authors: İsmail Toygar, Su Özgür, Gülcan Bağçivan, Ezgi Karaçam, Hilal Benzer, Ferda Akyüz Özdemir, Halise Taşkın Duman, Özlem Ovayolu
Format: Article
Language:English
Published: BMC 2025-08-01
Series:BMC Medical Informatics and Decision Making
Subjects:
Breast cancer
Survivorship
Self-efficacy
Machine learning
Online Access:https://doi.org/10.1186/s12911-025-03155-9
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https://doi.org/10.1186/s12911-025-03155-9

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