Won-Ho Hahn
Biographic Data
| ID | 7850769 |
|---|---|
| NAME | Won-Ho Hahn |
| GIVEN NAMES | Won-Ho |
| FAMILY NAME | Hahn |
| SIGNATURE | HAHN W |
| AFFILIATIONS | Inha University Hospital |
| ORCID | 0000-0003-3181-2231 |
| VERIFIED | Yes |
| TOTAL WORKS | 2 |
| TOTAL CITATIONS | 0 |
| WORKS AS AUTHOR | 2 |
| WORKS AS EDITOR | 0 |
| FIRST PUBLICATION YEAR | 2020 |
| LATEST PUBLICATION YEAR | 2024 |
| H-INDEX | 0 |
A Predictive Model for Perinatal Brain Injury Using Machine Learning Based on Early Birth Data
the gradient boosting model with ADASYN oversampling effectively predicts perinatal brain injury, potentially improving early detection for predicting long-term outcomes, reducing unnecessary MRI scans, and lowering healthcare costs
Mediating and Moderating Factors of Adherence to Nutrition and Physical Activity Guidelines, Breastfeeding Experience, and Spousal Support on the Relationship between Stress and Quality of Life in Bre…
Spousal support may attenuate stress in breast cancer survivors and improve their health-related quality of life (HRQoL). However, there is limited evidence of a relationship between spousal support, stress, and HRQoL in Asian populations. The current study examined whether spousal support, adherence to the American Cancer Society (ACS) Guidelines on Nutrition and Physical Activity for Cancer Survivors, and breastfeeding experience mediated or mo…
No prominent works on this page.
Mediating and Moderating Factors of Adherence to Nutrition and Physical Activity Guidelines, Breastfeeding Experience, and Spousal Support on the Relationship between Stress and Quality of Life in Bre…
Spousal support may attenuate stress in breast cancer survivors and improve their health-related quality of life (HRQoL). However, there is limited evidence of a relationship between spousal support, stress, and HRQoL in Asian populations. The current study examined whether spousal support, adherence to the American Cancer Society (ACS) Guidelines on Nutrition and Physical Activity for Cancer Survivors, and breastfeeding experience mediated or mo…
A Predictive Model for Perinatal Brain Injury Using Machine Learning Based on Early Birth Data
the gradient boosting model with ADASYN oversampling effectively predicts perinatal brain injury, potentially improving early detection for predicting long-term outcomes, reducing unnecessary MRI scans, and lowering healthcare costs
Psychology (2 works) · Acquired brain injury (1 work) · Artificial Intelligence (1 work) · Breast cancer (1 work) · Breastfeeding (1 work) · Cancer (1 work) · Cancer survivorship and care (1 work) · Cardiac Arrest and Resuscitation (1 work) · Clinical Psychology (1 work) · Clinical Psychology (1 work)