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Jongseo Lee

Biographic Data

ID7979067
NAMEJongseo Lee
GIVEN NAMESJongseo
FAMILY NAMELee
SIGNATURELEE J
AFFILIATIONSCatholic University of Korea
ORCID0000-0003-1541-0582
VERIFIEDYes
TOTAL WORKS1
TOTAL CITATIONS0
WORKS AS AUTHOR1
WORKS AS EDITOR0
FIRST PUBLICATION YEAR2024
LATEST PUBLICATION YEAR2024
H-INDEX0
  • Development of depression detection algorithm using text scripts of routine psychiatric interview

    Open Access•Jihoon Oh, Taekgyu Lee et al.•ARTICLE•Frontiers in Psychiatry•2024

    This is a qualitative and retrospective study to develop a tool to detect depression against patients without depression based on the text scripts of psychiatric interview, suggesting a novel and practical approach to understand the emotional characteristics of depression patients and to use them to detect the diagnosis of depression based on machine learning methods. This model could assist psychiatrists in clinical settings who conduct routine …

No prominent works on this page.

  • Development of depression detection algorithm using text scripts of routine psychiatric interview

    Open Access•Jihoon Oh, Taekgyu Lee et al.•ARTICLE•Frontiers in Psychiatry•2024

    This is a qualitative and retrospective study to develop a tool to detect depression against patients without depression based on the text scripts of psychiatric interview, suggesting a novel and practical approach to understand the emotional characteristics of depression patients and to use them to detect the diagnosis of depression based on machine learning methods. This model could assist psychiatrists in clinical settings who conduct routine …

Algorithm (1 work) · Anger (1 work) · Anxiety (1 work) · Clinical Psychology (1 work) · Clinical Psychology (1 work) · Computer Science (1 work) · Conversation (1 work) · Depression (economics (1 work) · Disgust (1 work) · Major depressive disorder (1 work)

Ethnos_APP • Open Source Project • MIT License • Frontend v2.0.0 • Privacy and Cookies • API Documentation: api.ethnos.app/docs • API Source Code: GitHub • DOI: 10.5281/zenodo.17049435 • Frontend Source Code: GitHub • DOI: 10.5281/zenodo.17050053 • cruz.rio.br • Expectantes Misericordiae