Using serum cholesterol and maximum heart rate achieved to diagnose heart disease in patients from Cleveland.
by Shreya Arora, Youssef Saleh and Zahra Vink
This project was done in December of 2021 as part of a first-year data science course at the University of British Columbia.
It aimed to use a k-nearest neighbors algorithm to classify patients in the given dataset into those likely to have heart disease and those who are not.