Research Portfolio

Advancing Breast Cancer Prediction: Comparative Analysis of ML models and Deep Learning-Based Multi-Model Ensembles on Original and Synthetic Datasets

https://doi.org/10.1371/journal.pone.0326221 Breast cancer is a significant global health concern with rising incidence and mortality rates. Current diagnostic methods face challenges...

Machine learning-based models for cardiovascular disease prediction

Cardiovascular disease (CVD), a common deadly disease, is primarily attributed to unhealthy human habits, making it a major global cause...

Supplier selection using machine learning integrated fuzzy AHP and Bayesian Belief Network approach: Case study of a jute company

Supplier selection is a critical aspect of purchase management within the supply chain, particularly for a Bangladeshi jute company. This...

Research Portfolio

Published

Advancing Breast Cancer Prediction: Comparative Analysis of ML models and Deep Learning-Based Multi-Model Ensembles on Original and Synthetic Datasets

Submitted

Machine learning-based models for cardiovascular disease prediction

Supplier selection using machine learning integrated fuzzy AHP and Bayesian Belief Network approach: Case study of a jute company