The project for objective measures using computational psychiatry technology (PROMPT): Rationale, design, and methodology

The project for objective measures using computational psychiatry technology (PROMPT): Rationale, design, and methodology

Introduction: Depressive and neurocognitive disorders are debilitating conditions that account for the leading causes of years lived with disability worldwide. However, there are no biomarkers that are objective or easy-to-obtain in daily clinical practice, which leads to difficulties in assessing t...

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Bibliographic Details
Main Authors: Taishiro Kishimoto, Akihiro Takamiya, Kuo-ching Liang, Kei Funaki, Takanori Fujita, Momoko Kitazawa, Michitaka Yoshimura, Yuki Tazawa, Toshiro Horigome, Yoko Eguchi, Toshiaki Kikuchi, Masayuki Tomita, Shogyoku Bun, Junichi Murakami, Brian Sumali, Tifani Warnita, Aiko Kishi, Mizuki Yotsui, Hiroyoshi Toyoshiba, Yasue Mitsukura, Koichi Shinoda, Yasubumi Sakakibara, Masaru Mimura
Format: Article
Language:English
Published: Elsevier 2020-09-01
Series:Contemporary Clinical Trials Communications
Subjects:
Depression
Neurocognitive disorder
Machine learning
Screening
Natural language processing
Online Access:http://www.sciencedirect.com/science/article/pii/S2451865420301332

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http://www.sciencedirect.com/science/article/pii/S2451865420301332

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