Factors influencing psychological distress among breast cancer survivors using machine learning techniques

Abstract Breast cancer is the most commonly diagnosed cancer among women worldwide. Breast cancer patients experience significant distress relating to their diagnosis and treatment. Managing this distress is critical for improving the lifespan and quality of life of breast cancer survivors. This stu...

Full description

Bibliographic Details

Published in:	Scientific Reports
Main Authors:	Jin-Hee Park, Misun Chun, Sun Hyoung Bae, Jeonghee Woo, Eunae Chon, Hee Jun Kim
Format:	Article
Language:	English
Published:	Nature Portfolio 2024-07-01
Subjects:	Breast cancer Distress Machine learning Quality of life Distress thermometer
Online Access:	https://doi.org/10.1038/s41598-024-65132-y