Lillian Linda
Biographic Data
| ID | 7971526 |
|---|---|
| NAME | Lillian Linda |
| GIVEN NAMES | Lillian |
| FAMILY NAME | Linda |
| SIGNATURE | LINDA L |
| AFFILIATIONS | Uganda Virus Research Institute |
| VERIFIED | No |
| TOTAL WORKS | 1 |
| TOTAL CITATIONS | 0 |
| AUTHOR COUNT | 1 |
| EDITOR COUNT | 0 |
| FIRST PUBLICATION YEAR | 2025 |
| LATEST PUBLICATION YEAR | 2025 |
| H-INDEX | 0 |
Predicting suicidality in people living with HIV in Uganda: A machine learning approach
A cost-sensitive AdaBoost model developed using the sociodemographic, psychosocial, and clinical data of PLWH in Uganda can predict suicidality risk, albeit with modest PPV. Incorporating suicidality PRS improved the overall predictive performance of the model. However, larger studies involving more diverse participants are needed to evaluate the potential of PRS in enhancing risk stratification and the clinical utility of the prediction model
No prominent works on this page.
Predicting suicidality in people living with HIV in Uganda: A machine learning approach
A cost-sensitive AdaBoost model developed using the sociodemographic, psychosocial, and clinical data of PLWH in Uganda can predict suicidality risk, albeit with modest PPV. Incorporating suicidality PRS improved the overall predictive performance of the model. However, larger studies involving more diverse participants are needed to evaluate the potential of PRS in enhancing risk stratification and the clinical utility of the prediction model
AdaBoost (1 works) · Artificial Intelligence (1 works) · Computer Science (1 works) · Decision tree (1 works) · Generalizability theory (1 works) · Logistic regression (1 works) · Machine learning (1 works) · Mathematics (1 works) · Medicine (1 works) · Mental Health Treatment and Access (1 works)