Van Huy Pham
Biographic Data
| ID | 10429715 |
|---|---|
| NAME | Van Huy Pham |
| GIVEN NAMES | Van Huy |
| FAMILY NAME | Pham |
| SIGNATURE | PHAM H |
| AFFILIATIONS | Ton Duc Thang University |
| VERIFIED | No |
| TOTAL WORKS | 2 |
| TOTAL CITATIONS | 0 |
| WORKS AS AUTHOR | 2 |
| WORKS AS EDITOR | 0 |
| FIRST PUBLICATION YEAR | 2019 |
| LATEST PUBLICATION YEAR | 2020 |
| H-INDEX | 0 |
XGBoost-Based Framework for Smoking-Induced Noncommunicable Disease Prediction
Smoking-induced noncommunicable diseases (SiNCDs) have become a significant threat to public health and cause of death globally. In the last decade, numerous studies have been proposed using artificial intelligence techniques to predict the risk of developing SiNCDs. However, determining the most significant features and developing interpretable models are rather challenging in such systems. In this study, we propose an efficient extreme gradient…
Socioeconomic Inequalities in the HIV Testing during Antenatal Care in Vietnamese Women
Although HIV (human immunodeficiency virus) testing for all women has been promoted by Vietnam's Ministry of Health since 2000, test acceptance rates in this country were reported to be less than 30% in the community. This country has been facing the barriers to approach the national services towards transmission prevention from mother to child including HIV testing during antenatal care (ANC) towards mothers. Here, we aim to assess the socioecon…
No prominent works on this page.
Socioeconomic Inequalities in the HIV Testing during Antenatal Care in Vietnamese Women
Although HIV (human immunodeficiency virus) testing for all women has been promoted by Vietnam's Ministry of Health since 2000, test acceptance rates in this country were reported to be less than 30% in the community. This country has been facing the barriers to approach the national services towards transmission prevention from mother to child including HIV testing during antenatal care (ANC) towards mothers. Here, we aim to assess the socioecon…
XGBoost-Based Framework for Smoking-Induced Noncommunicable Disease Prediction
Smoking-induced noncommunicable diseases (SiNCDs) have become a significant threat to public health and cause of death globally. In the last decade, numerous studies have been proposed using artificial intelligence techniques to predict the risk of developing SiNCDs. However, determining the most significant features and developing interpretable models are rather challenging in such systems. In this study, we propose an efficient extreme gradient…
Environmental health (2 works) · Medicine (2 works) · Population (2 works) · Artificial Intelligence (1 work) · Boosting (machine learning (1 work) · Cardiovascular Disease and Adiposity (1 work) · Cardiovascular Health and Risk Factors (1 work) · Computer Science (1 work) · Demography (1 work) · Demography (1 work)