Biography and Research Information
OverviewAI-generated summary
Mohammed Elfaramawi's research has focused on the application of machine learning techniques for health prediction and the investigation of occupational exposures and cancer mortality. His recent publication in 2025 explores the development of predictive models for diabetes and hypertension among adults in Bangladesh using machine learning approaches. Previously, in 2022, he co-authored a case-cohort study examining the association between working with poultry and esophageal cancer mortality. Elfaramawi's scholarship metrics include an h-index of 4, with a total of 10 publications cited 1,310 times. He has collaborated with several researchers at the University of Arkansas for Medical Sciences, including Robert R. Delongchamp, Kylie Chisum, Tyrone Gamble, and Sharlene Brown, each with one shared publication.
Metrics
- h-index: 4
- Publications: 11
- Citations: 1,313
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)
Collaboration Network
Top Collaborators
- 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 Bangladesh 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 Bangladesh Adults
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