Golam Shariar
Biographic Data
| ID | 9068207 |
|---|---|
| NAME | Golam Shariar |
| GIVEN NAMES | Golam |
| FAMILY NAME | Shariar |
| SIGNATURE | SHARIAR G |
| AFFILIATIONS | New York Institute of Technology |
| ORCID | 0000-0003-2011-5182 |
| VERIFIED | Yes |
| TOTAL WORKS | 2 |
| TOTAL CITATIONS | 0 |
| WORKS AS AUTHOR | 2 |
| WORKS AS EDITOR | 0 |
| FIRST PUBLICATION YEAR | 2022 |
| 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…
Psychological distress among Bangladeshi physicians
While physicians' combat against the Covid-19 pandemic is itself stressful, their stigma experiences and fear of infection due to professional commitments may risk their psychological state. The study investigated the association among perceived stigma, fear of infection, resilience, and psychological distress among physicians during the Covid-19 pandemic in a developing country, Bangladesh. A total of 209 physicians voluntarily participated in a…
No prominent works on this page.
Psychological distress among Bangladeshi physicians
While physicians' combat against the Covid-19 pandemic is itself stressful, their stigma experiences and fear of infection due to professional commitments may risk their psychological state. The study investigated the association among perceived stigma, fear of infection, resilience, and psychological distress among physicians during the Covid-19 pandemic in a developing country, Bangladesh. A total of 209 physicians voluntarily participated in a…
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) · Anxiety (1 work) · Artificial Intelligence in Healthcare (1 work) · Artificial neural network (1 work) · Blood pressure (1 work) · Boosting (machine learning) (1 work) · Clinical Psychology (1 work) · COVID-19 and Mental Health (1 work) · Diabetes mellitus (1 work) · Diabetes, Cardiovascular Risks, and Lipoproteins (1 work)