Bio

Sayed Rakibul Hasan Shanto holds a BSc in Electrical and Electronics Engineering degree from Islamic University of Technology and currently doing his Master’s in Applied Statistics and Data Science at Jahangirnagar University. Specializing in machine learning applications within healthcare, his current research focuses on predictive analytics for early detection of chronic diseases, merging data science and statistical expertise to develop impactful, preventative solutions.

Assigned Project

Risk prediction of Chronic Kidney Disease:
 
The project aims to develop an AI-powered system to predict early risk of Chronic Kidney Disease (CKD) in Bangladesh. It focuses on gathering relevant data, creating predictive models, and validating these models with the help of physicians. This initiative addresses the high prevalence of CKD and aims to improve early diagnosis and treatment in the region.
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
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