Early detection
is critical
According to the CDC, around 659,000 people in the United States die from heart disease each year. Yet, many of these deaths can be prevented by early detection.
Who are we?
UniHeart is a organization dedicated to preventing the 1 in 3 global deaths from Heart Disease. Using two machine learning models, UniHeart has an accuracy of 85% and 61% respectively. With UniHeart, people who were not previously able to receive advanced health care have a free and accessible alternative to determine their chances of having heart disease.
Our Models
Environmental Model
The environmental model is designed for everyday people to use. Users are able to input their age, sex, height, weight, whether they drink/smoke/are active, is able to get a result of whether or they have heart disease.
Accuracy: 61%
Lab Model
The lab model was created for doctors to input a patient's medical data and get a more accurate result of their patient' chance of having heart disease.
Accuracy: 85%