Exploring the Use of Natural Language Processing for Objective Assessment of Disorganized Speech in Schizophrenia.

ABSTRACT:

Objective

Measurement-based care tools in psychiatry are useful for symptom monitoring and detecting response to treatment, but methods for quick and objective measurement are lacking especially for acute psychosis. The aim of this study was to explore potential language markers, detected by natural language processing (NLP) methods, as a means to objectively measure the severity of psychotic symptoms of schizophrenia in an acute clinical setting.

Methods

Twenty-two speech samples were collected from seven participants who were hospitalized for schizophrenia, and their symptoms were evaluated over time with SAPS/SANS and TLC scales. Linguistic features were extracted from the speech data using machine learning techniques. Spearman's correlation was performed to examine the r

SUBMITTER: Jeong L 

PROVIDER: S-EPMC10499191 | biostudies-literature | 2023

REPOSITORIES: biostudies-literature