To run this code on your machine

Clone or download this project

use this command to clone: git clone https://github.com/Devjeel/Heart_Disease_KNN_Model.git

before running the program, install necessary dependencies using following command : pip install -r requirements.txt

now run the flask server server.py file and trigger the JSON input with request.py file.

Update POST request to send your JSON data from here

NOTE: you might need to update the URL to your running flask server here

Algorithm

Algorithm used: Scikit-Learn, Classification, K-NearestNeighbors

Score Evaluation

Improved Accuracy: 0.86813

MAE Score: 0.13187

Dataset

Data source: Kaggle Dataset

Columns Info.

#age = age in years
#sex (1 = male; 0 = female)
#cp = chest pain type
#trestbps = resting blood pressure (in mm Hg on admission to the hospital)
#chol = serum cholestoral in mg/dl
#fbs = (fasting blood sugar > 120 mg/dl) (1 = true; 0 = false)
#restecg = resting electrocardiographic results
#thalach = maximum heart rate achieved
#exang = exercise induced angina (1 = yes; 0 = no)
#oldpeak = ST depression induced by exercise relative to rest
#slope = the slope of the peak exercise ST segment
#ca = number of major vessels (0-3) colored by flourosopy
#thal (3 = normal; 6 = fixed defect; 7 = reversable defect)
#target 1 or 0