Seyifemickael Amare Yilema
Biographic Data
| ID | 7805069 |
|---|---|
| NAME | Seyifemickael Amare Yilema |
| GIVEN NAMES | Seyifemickael Amare |
| FAMILY NAME | Yilema |
| SIGNATURE | YILEMA S A |
| AFFILIATIONS | University of Pretoria |
| ORCID | 0000-0002-9445-6038 |
| VERIFIED | Yes |
| TOTAL WORKS | 2 |
| TOTAL CITATIONS | 0 |
| AUTHOR COUNT | 2 |
| EDITOR COUNT | 0 |
| FIRST PUBLICATION YEAR | 2025 |
| LATEST PUBLICATION YEAR | 2025 |
| H-INDEX | 0 |
Exploring machine learning classification for community based health insurance enrollment in Ethiopia
Background: Community-based health insurance (CBHI) is a vital tool for achieving universal health coverage (UHC), a key global health priority outlined in the sustainable development goals (SDGs). Sub-Saharan Africa continues to face challenges in achieving UHC and protecting individuals from the financial burden of disease. As a result, CBHI has become popular in low- and middle-income countries, including Ethiopia. Therefore, this study aimed …
Comparisons of cox semi-parametric and parametric shared frailty models
The exponential shared frailty hazard model with lognormal frailty distribution demonstrated better performance compared to the Cox semiparametric model for identifying risk factors for under-five children across sSA countries. Place of residence, wealth index, media exposure, birth order, birth interval, access to improved water, and use of clean fuels for cooking were the significant risk factors on time to death of under-five children in sSA
No prominent works on this page.
Exploring machine learning classification for community based health insurance enrollment in Ethiopia
Background: Community-based health insurance (CBHI) is a vital tool for achieving universal health coverage (UHC), a key global health priority outlined in the sustainable development goals (SDGs). Sub-Saharan Africa continues to face challenges in achieving UHC and protecting individuals from the financial burden of disease. As a result, CBHI has become popular in low- and middle-income countries, including Ethiopia. Therefore, this study aimed …
Comparisons of cox semi-parametric and parametric shared frailty models
The exponential shared frailty hazard model with lognormal frailty distribution demonstrated better performance compared to the Cox semiparametric model for identifying risk factors for under-five children across sSA countries. Place of residence, wealth index, media exposure, birth order, birth interval, access to improved water, and use of clean fuels for cooking were the significant risk factors on time to death of under-five children in sSA
Global Health Care Issues (2 works) · Medicine (2 works) · Artificial Intelligence (1 works) · Biostatistics (1 works) · Business (1 works) · Child Nutrition and Water Access (1 works) · Computer Science (1 works) · Decision tree (1 works) · Demography (1 works) · Demography (1 works)