Machine-learned identification of psychological subgroups with relation to pain interference in patients after breast cancer treatments.

ABSTRACT:

Background

Persistent pain in breast cancer survivors is common. Psychological and sleep-related factors modulate perception, interpretation and coping with pain and may contribute to the clinical phenotype. The present analysis pursued the hypothesis that breast cancer survivors form subgroups, based on psychological and sleep-related parameters that are relevant to the impact of pain on the patients' life.

Methods

We analysed 337 women treated for breast cancer, in whom psychological and sleep-related parameters as well as parameters related to pain intensity and interference had been acquired. Data were analysed by using supervised and unsupervised machine-learning techniques (i) to detect patient subgroups based on the pattern of psychological or sleep-related parameters

SUBMITTER: Sipila R 

PROVIDER: S-EPMC7375580 | biostudies-literature | 2020 Apr

REPOSITORIES: biostudies-literature