Recovery in personality disorders: the development and preliminary testing of a novel natural language processing model to identify recovery in mental health electronic records.

ABSTRACT:

Introduction

The concept of recovery is of great importance in mental health as it emphasizes improvements in quality of life and functioning alongside the traditional focus on symptomatic remission. Yet, investigating non-symptomatic recovery in the field of personality disorders has been particularly challenging due to complexities in capturing the occurrence of recovery. Electronic health records (EHRs) provide a robust platform from which episodes of recovery can be detected. However, much of the relevant information may be embedded in free-text clinical notes, requiring the development of appropriate tools to extract these data.

Methods

Using data from one of Europe's largest electronic health records databases [the Clinical Records Interactive Search (CRIS)], we develo

SUBMITTER: Kadra-Scalzo G 

PROVIDER: S-EPMC12003297 | biostudies-literature | 2025

REPOSITORIES: biostudies-literature