Towards identifying cancer patients at risk to miss out on psycho-oncological treatment via machine learning.

ABSTRACT:

Objective

In routine oncological treatment settings, psychological distress, including mental disorders, is overlooked in 30% to 50% of patients. High workload and a constant need to optimise time and costs require a quick and easy method to identify patients likely to miss out on psychological support.

Methods

Using machine learning, factors associated with no consultation with a clinical psychologist or psychiatrist were identified between 2011 and 2019 in 7,318 oncological patients in a large cancer treatment centre. Parameters were hierarchically ordered based on statistical relevance. Nested resampling and cross validation were performed to avoid overfitting.

Results

Patients were least likely to receive psycho-oncological (i.e., psychiatric/psychotherapeutic) tr

SUBMITTER: Gunther MP 

PROVIDER: S-EPMC9286797 | biostudies-literature | 2022 Mar

REPOSITORIES: biostudies-literature