As part of his Summer Undergraduate Research Fellowship project, Muntasir Hossain ’23 immersed himself in machine learning, exploring ways to improve the identification of heart disease, while discovering a possible new career path.
Muntasir Hossain ’23 is interested in machine learning and artificial intelligence (AI), and he took the opportunity to explore these cutting-edge topics in depth this summer.
Through the University’s Summer Undergraduate Research Fellowship (SURF) program, Hossain began his work by researching heart disease as a potential area of focus for machine learning. He learned about the severity of the disease, which does not have a cure, and he explored how machine learning – the study of teaching computers to recognize and identify patterns in data – could be used to detect what is currently the leading cause of death in the U.S.
“Machine learning can be used as a cost-effective means of detecting heart disease at an early stage and preventing it,” said computer science vs computer engineering, a computer science major. “The results would be used by diagnosticians to make a more reliable diagnosis very quickly.”
Because of the coronavirus pandemic, Hossain conducted his research and completed his SURF project online. Using Weka, an open source machine learning software, Hossain trained and tested multiple algorithms on a heart disease dataset.
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