Mohammed Elfaramawi
Researcher
Also affiliated: University of North Texas (2011); University of North Texas Health Science Center (2011); Institute for Health Metrics and Evaluation (2018); Arkansas Department of Agriculture (2014)
Faculty Researcher
Research Areas
Biomedical Subjects
Biography and Research Information
OverviewAI-generated summary
Mohammed Elfaramawi has investigated the application of machine learning techniques to develop predictive models for chronic diseases, including diabetes and hypertension. His work has focused on specific populations, such as adults in Bangladesh, aiming to identify risk factors and improve early detection. Elfaramawi also studies occupational health risks, examining the association between working with poultry and esophageal cancer mortality through case-cohort study designs. His research network includes collaborators from the University of Arkansas for Medical Sciences, with whom he has shared publications. Elfaramawi has published 11 papers with a total of 1,320 citations and an h-index of 4.
Metrics
- h-index: 4
- Publications: 11
- Citations: 1,327
Selected Publications
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Application of machine learning approaches to develop predictive models for diabetes and hypertension among Bangladeshi Adults (2026)
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Application of Machine Learning Approaches to Develop Predictive Models for Diabetes and Hypertension among Bangladesh Adults (2025)
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The association between working with poultry and esophageal cancer mortality; a case-cohort study (2022)
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Corrigendum to “Oral Health Knowledge and Behavior among Adults in the United Arab Emirates” (2019)
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Oral Health Knowledge and Behavior among Adults in the United Arab Emirates (2019)
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Insurance Status and Differences in Treatment and Survival of Testicular Cancer Patients (2015)
Collaboration Network
Top Collaborators
- Application of Machine Learning Approaches to Develop Predictive Models for Diabetes and Hypertension among Bangladesh Adults
- Application of machine learning approaches to develop predictive models for diabetes and hypertension among Bangladeshi Adults
- Application of Machine Learning Approaches to Develop Predictive Models for Diabetes and Hypertension among Bangladesh Adults
- Application of machine learning approaches to develop predictive models for diabetes and hypertension among Bangladeshi Adults
- Application of Machine Learning Approaches to Develop Predictive Models for Diabetes and Hypertension among Bangladesh Adults
- Application of machine learning approaches to develop predictive models for diabetes and hypertension among Bangladeshi Adults
- The association between working with poultry and esophageal cancer mortality; a case-cohort study
- The association between working with poultry and esophageal cancer mortality; a case-cohort study
- The association between working with poultry and esophageal cancer mortality; a case-cohort study
- The association between working with poultry and esophageal cancer mortality; a case-cohort study
- The association between working with poultry and esophageal cancer mortality; a case-cohort study
- The association between working with poultry and esophageal cancer mortality; a case-cohort study
- Application of Machine Learning Approaches to Develop Predictive Models for Diabetes and Hypertension among Bangladesh Adults
- Application of machine learning approaches to develop predictive models for diabetes and hypertension among Bangladeshi Adults
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