HeartMap

Motivation

Problem: Heart disease is a leading global cause of mortality​. Many people lack awareness of their own risk factors and access to personalized health advice​

Solution: Create an accessible and user-friendly webapp for personalized heart disease prediction​

Goal:Help users take the first steps towards improving their heart health

Problems with original dataset​

Highly technical features, not intuitive for users to understand​ Conflicts with our goal of making a user-friendly and accessible tool

Dataset

New Dataset: Heart Disease Prediction sourced from Kaggle​

Has features that users are more likely to know or estimate about themselves​ age, sex, cholesterol, blood pressure, heart rate, smoking habits, alcohol intake, exercise hours, family history, diabetes, obesity, stress level, blood sugar, exercise induced angina, chest pain

Model

Our machine learning model, a Logistic Regression classifier, predicts the likelihood of heart disease using these features.

What's next for HeartMap

Built With

• python
• scikit-learn