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Shu‐Chin Chen

Biographic Data

ID7110938
NAMEShu‐Chin Chen
GIVEN NAMESShu‐Chin
FAMILY NAMEChen
SIGNATURECHEN S C
AFFILIATIONSNational Taiwan University
ORCID0000-0003-3316-2164
VERIFIEDYes
TOTAL WORKS1
TOTAL CITATIONS0
WORKS AS AUTHOR1
WORKS AS EDITOR0
FIRST PUBLICATION YEAR2021
LATEST PUBLICATION YEAR2021
H-INDEX0
  • Prediction of Repeated Self-Harm in Six Months

    Open Access•Shu‐Chin Chen, Shu-Chin Chen et al.•ARTICLE•OMEGA - Journal of Death and Dying•2021

    Suicidal risk has been a significant mental health problem. However, the predictive ability for repeated self-harm (SH) has not improved over the past decades. This study thus aimed to explore a potential tool with theoretical accommodation and clinical application by employing traditional logistic regression (LR) and newly developed machine learning, random forest algorithm (RF). Starting with 89 items from six commonly used scales (i.e., proxim…

No prominent works on this page.

  • Prediction of Repeated Self-Harm in Six Months

    Open Access•Shu‐Chin Chen, Shu-Chin Chen et al.•ARTICLE•OMEGA - Journal of Death and Dying•2021

    Suicidal risk has been a significant mental health problem. However, the predictive ability for repeated self-harm (SH) has not improved over the past decades. This study thus aimed to explore a potential tool with theoretical accommodation and clinical application by employing traditional logistic regression (LR) and newly developed machine learning, random forest algorithm (RF). Starting with 89 items from six commonly used scales (i.e., proxim…

Algorithm (1 work) · Artificial Intelligence (1 work) · Artificial Intelligence (1 work) · Clinical Psychology (1 work) · Clinical Psychology (1 work) · Computer Science (1 work) · Harm (1 work) · Insect and Pesticide Research (1 work) · Logistic regression (1 work) · Machine learning (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