Using machine learning to investigate earning capacity in patients undergoing psychosomatic rehabilitation-A retrospective health data analysis.

ABSTRACT: Psychiatric disorders increasingly contribute to disability and early retirement. This study was conducted to investigate whether machine learning can contribute to a better understanding and assessment of such a reduced earning capacity. It analyzed whether impaired earning capacity is reflected in missing treatment effects, and which interventions drive treatment effects during psychosomatic rehabilitation. Analyses were based on routine clinical data encompassing demographics, diagnoses, psychological questionnaires before, and after treatment, interventions, and an interdisciplinary assessment of earning capacity for N = 1,054 patients undergoing psychosomatic rehabilitation in 2019. Classification of patients by changes in self-reported mental health and interventions predictiv

SUBMITTER: Papst L 

PROVIDER: S-EPMC9630905 | biostudies-literature | 2022

REPOSITORIES: biostudies-literature