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

CONCLUSIONS: The results support the initial hypothesis that psychological and sleep-related parameter patterns are meaningful for subgrouping patients with respect to how persistent pain after breast cancer treatments interferes with their life. This indicates that management of pain should address more complex features than just pain intensity. Artificial intelligence is a useful tool in the identification of subgroups of patients based on psychological factors. PMID: 32066081 [PubMed - as supplied by publisher]
Source: Breast - Category: Cancer & Oncology Authors: Tags: Breast Source Type: research