James Ross O’Hagan
Biographic Data
| ID | 9068206 |
|---|---|
| NAME | James Ross O’Hagan |
| GIVEN NAMES | James Ross |
| FAMILY NAME | O’Hagan |
| SIGNATURE | O’HAGAN J R |
| AFFILIATIONS | United States Census Bureau |
| VERIFIED | No |
| TOTAL WORKS | 1 |
| TOTAL CITATIONS | 0 |
| WORKS AS AUTHOR | 1 |
| WORKS AS EDITOR | 0 |
| FIRST PUBLICATION YEAR | 2026 |
| LATEST PUBLICATION YEAR | 2026 |
| H-INDEX | 0 |
Application of machine learning approaches to develop predictive models for diabetes and hypertension among Bangladeshi Adults
With rapid urbanization, lifestyle changes, and an aging population, non-communicable diseases (NCDs), including hypertension and diabetes, pose significant public health challenges in Bangladesh and many other low- and middle-income countries. This study used machine learning (ML) approaches to develop predictive models for hypertension and diabetes among Bangladeshi adults. Bangladesh Demographic and Health Survey 2022, a nationally representat…
No prominent works on this page.
Application of machine learning approaches to develop predictive models for diabetes and hypertension among Bangladeshi Adults
With rapid urbanization, lifestyle changes, and an aging population, non-communicable diseases (NCDs), including hypertension and diabetes, pose significant public health challenges in Bangladesh and many other low- and middle-income countries. This study used machine learning (ML) approaches to develop predictive models for hypertension and diabetes among Bangladeshi adults. Bangladesh Demographic and Health Survey 2022, a nationally representat…
AdaBoost (1 work) · Artificial Intelligence in Healthcare (1 work) · Artificial neural network (1 work) · Blood pressure (1 work) · Boosting (machine learning) (1 work) · Diabetes mellitus (1 work) · Diabetes, Cardiovascular Risks, and Lipoproteins (1 work) · Gradient boosting (1 work) · Machine Learning in Healthcare (1 work) · Random forest (1 work)