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Title:
機械学習に基づいて心理指標データ及び身体指標データを学習することにより、精神健康を予測し、精神健康ソリューションを提供する方法及びそれを用いた精神健康評価装置
Document Type and Number:
Japanese Patent JP7299427
Kind Code:
B2
Abstract:
Disclosed are a method for estimating mental health and providing a solution for mental health by learning psychological data and biological data based on machine learning and a mental health estimating device using the same. The method includes: (a) acquiring, by a mental health estimating device, psychological data for testing and biological data for testing of a test subject from a terminal of the test subject in a state in which a first estimated model is learned by referring to estimated mental health data for learning output from the first estimated model and ground truth (GT) mental health data corresponding to the estimated mental health data after psychological data for learning and biological data for learning of a plurality of learning subjects are input to the first estimated model; and (b) inputting, by the mental health estimating device, the psychological data for testing and the biological data for testing to the first estimated model to allow the first estimated model to output estimated mental health data for testing.

Inventors:
Jung Ho Seok
Su A Jean
Sun Woo Choi
Tae Jun Kim
Chang Hyun Kim
Ryun Sup An
Application Number:
JP2022546498A
Publication Date:
June 27, 2023
Filing Date:
June 16, 2021
Export Citation:
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Assignee:
Mines AI Company Limited
Industry-Academic Corporation Foundation, Yonsei University
International Classes:
G06N20/00; G16H50/30
Domestic Patent References:
JP2018181004A
Foreign References:
US20190244127
Attorney, Agent or Firm:
Yasuhiko Murayama
Shinya Mihiro
Tatsuhiko Abe