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Hyeon-Hee Sim

Biographic Data

ID7979066
NAMEHyeon-Hee Sim
GIVEN NAMESHyeon-Hee
FAMILY NAMESim
SIGNATURESIM H
AFFILIATIONSThe Catholic University of Korea Seoul St. Mary's Hospital
VERIFIEDNo
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