Machine learning algorithm-based estimation model for the severity of depression assessed using Montgomery-Asberg depression rating scale.

ABSTRACT:

Aim

Depressive disorder is often evaluated using established rating scales. However, consistent data collection with these scales requires trained professionals. In the present study, the "rater & estimation-system" reliability was assessed between consensus evaluation by trained psychiatrists and the estimation by 2 models of the AI-MADRS (Montgomery-Asberg Depression Rating Scale) estimation system, a machine learning algorithm-based model developed to assess the severity of depression.

Methods

During interviews with trained psychiatrists and the AI-MADRS estimation system, patients responded orally to machine-generated voice prompts from the AI-MADRS structured interview questions. The severity scores estimated from two models of the AI-MADRS estimation system, the max es

SUBMITTER: Shimamoto M 

PROVIDER: S-EPMC10932776 | biostudies-literature | 2024 Mar

REPOSITORIES: biostudies-literature