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 study aimed to assess the level of distress in breast cancer survivors and analyze the variables that significantly affect distress using machine learning techniques. A survey was conducted with 641 adult breast cancer patients using the National Comprehensive Cancer Network Distress Thermometer tool. Participants identified various factors that caused distress. Five machine learning models were used to predict the classification of patients into mild and severe distress groups. The survey results indicated

SUBMITTER: Park JH 

PROVIDER: S-EPMC11219858 | biostudies-literature | 2024 Jul

REPOSITORIES: biostudies-literature