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Research Areas
Biography and Research Information
OverviewAI-generated summary
Mohammad Sajidul Islam's research focuses on the application of machine learning for early disease prediction, as demonstrated in his 2023 publication on predicting diabetes. He also engages in interdisciplinary studies, exploring the representation of women in literature through an intersectional feminist lens, as seen in his work on Ashapurna Devi's novels. Islam's scholarly output includes three publications with a total of 16 citations and an h-index of 1. He has collaborated with Syed Imran Ali Meerza from the University of Arkansas at Fayetteville on one shared publication, indicating an active research network.
Metrics
- h-index: 1
- Publications: 3
- Citations: 16
Selected Publications
-
Prediction of Diabetes at Early Stage using Interpretable Machine Learning (2023)
Collaboration Network
Top Collaborators
Md Minul Alam
Arkansas Tech University (US)
1 shared publication
- Prediction of Diabetes at Early Stage using Interpretable Machine Learning
Afsana Ahamed
Arkansas Tech University (US)
1 shared publication
- Prediction of Diabetes at Early Stage using Interpretable Machine Learning
Syed Imran Ali Meerza
Arkansas Tech University
1 shared publication
In database
- Prediction of Diabetes at Early Stage using Interpretable Machine Learning
M. A. Zalil
1 shared publication
- REPRESENTATION OF WOMEN IN ASHAPURNA DEVI’S NOVELS PRATHAM PRATISHRUTI AND SUBARNALATA: AN INTERSECTIONAL FEMINIST STUDY
M. Samsujjoha
1 shared publication
- REPRESENTATION OF WOMEN IN ASHAPURNA DEVI’S NOVELS PRATHAM PRATISHRUTI AND SUBARNALATA: AN INTERSECTIONAL FEMINIST STUDY
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