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Deok-Hee Kim-Dufor

Biographic Data

ID7970773
NAMEDeok-Hee Kim-Dufor
GIVEN NAMESDeok-Hee
FAMILY NAMEKim-Dufor
SIGNATUREKIM-DUFOR D
AFFILIATIONSInserm
ORCID0000-0002-0411-0093
VERIFIEDYes
TOTAL WORKS2
TOTAL CITATIONS0
WORKS AS AUTHOR2
WORKS AS EDITOR0
FIRST PUBLICATION YEAR2025
LATEST PUBLICATION YEAR2026
H-INDEX0
  • Pepamarker

    Open Access•Raphaël Terrisse, Christophe Lemey et al.•ARTICLE•Frontiers in Psychiatry•2026

    https://clinicaltrials.gov/, identifier NCT05384392

  • Deeper insight into speech characteristics of patients at ultra-high risk using classification and explainability models

    Open Access•Deok-Hee Kim-Dufor, Michel Walter et al.•ARTICLE•Frontiers in Psychiatry•2025

    The findings in this study suggest that weak coherence play a key role in classification. No significant differences in the use of "I" and filled pauses were found between groups using a statistical test, but an explainability model showed its different contributions. The contribution of each linguistic feature to the classification by patient group provided deeper insight into linguistic manifestations of each patient group and their subtle diff…

No prominent works on this page.

  • Deeper insight into speech characteristics of patients at ultra-high risk using classification and explainability models

    Open Access•Deok-Hee Kim-Dufor, Michel Walter et al.•ARTICLE•Frontiers in Psychiatry•2025

    The findings in this study suggest that weak coherence play a key role in classification. No significant differences in the use of "I" and filled pauses were found between groups using a statistical test, but an explainability model showed its different contributions. The contribution of each linguistic feature to the classification by patient group provided deeper insight into linguistic manifestations of each patient group and their subtle diff…

  • Pepamarker

    Open Access•Raphaël Terrisse, Christophe Lemey et al.•ARTICLE•Frontiers in Psychiatry•2026

    https://clinicaltrials.gov/, identifier NCT05384392

Bipolar Disorder and Treatment (1 work) · Cohort (1 work) · Cohort study (1 work) · Computer Science (1 work) · Machine Learning in Healthcare (1 work) · Medicine (1 work) · Multicenter study (1 work) · Protocol (science (1 work) · Psychology (1 work) · Psychosis (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