Understanding psychiatric illness through natural language processing (UNDERPIN): Rationale, design, and methodology

Understanding psychiatric illness through natural language processing (UNDERPIN): Rationale, design, and methodology

IntroductionPsychiatric disorders are diagnosed through observations of psychiatrists according to diagnostic criteria such as the DSM-5. Such observations, however, are mainly based on each psychiatrist's level of experience and often lack objectivity, potentially leading to disagreements amon...

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Main Authors: Taishiro Kishimoto, Hironobu Nakamura, Yoshinobu Kano, Yoko Eguchi, Momoko Kitazawa, Kuo-ching Liang, Koki Kudo, Ayako Sento, Akihiro Takamiya, Toshiro Horigome, Toshihiko Yamasaki, Yuki Sunami, Toshiaki Kikuchi, Kazuki Nakajima, Masayuki Tomita, Shogyoku Bun, Yuki Momota, Kyosuke Sawada, Junichi Murakami, Hidehiko Takahashi, Masaru Mimura
Format: Article
Language:English
Published: Frontiers Media S.A. 2022-12-01
Series:Frontiers in Psychiatry
Subjects:
language
psychiatric disorders
biomarker
machine learning
natural language processing (computer science)
neurocognitive disorders
Online Access:https://www.frontiersin.org/articles/10.3389/fpsyt.2022.954703/full

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https://www.frontiersin.org/articles/10.3389/fpsyt.2022.954703/full

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