Sue-Huei Chen
Biographic Data
| ID | 9084396 |
|---|---|
| NAME | Sue-Huei Chen |
| GIVEN NAMES | Sue-Huei |
| FAMILY NAME | Chen |
| SIGNATURE | CHEN S |
| AFFILIATIONS | National Taiwan University |
| VERIFIED | No |
| TOTAL WORKS | 2 |
| TOTAL CITATIONS | 0 |
| WORKS AS AUTHOR | 2 |
| WORKS AS EDITOR | 0 |
| FIRST PUBLICATION YEAR | 2007 |
| LATEST PUBLICATION YEAR | 2021 |
| H-INDEX | 0 |
Prediction of Repeated Self-Harm in Six Months
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…
Family Factors of Internet Addiction and Substance Use Experience in Taiwanese Adolescents
The aim of the study is to examine the differences in the diversity of family factors between adolescents with and without Internet addiction and substance use experience. A total of 3662 students (2328 boys and 1334 girls) were recruited from seven junior high schools, six senior high schools, and four vocational high schools in southern Taiwan. Internet addiction and substance experience were classified according to the score of Chen Internet A…
No prominent works on this page.
Family Factors of Internet Addiction and Substance Use Experience in Taiwanese Adolescents
The aim of the study is to examine the differences in the diversity of family factors between adolescents with and without Internet addiction and substance use experience. A total of 3662 students (2328 boys and 1334 girls) were recruited from seven junior high schools, six senior high schools, and four vocational high schools in southern Taiwan. Internet addiction and substance experience were classified according to the score of Chen Internet A…
Prediction of Repeated Self-Harm in Six Months
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…
Clinical Psychology (2 works) · Logistic regression (2 works) · Medicine (2 works) · Psychology (2 works) · Addiction (1 work) · Algorithm (1 work) · Artificial Intelligence (1 work) · Artificial Intelligence (1 work) · Child Development and Digital Technology (1 work) · Clinical Psychology (1 work)