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A GUI-Based Approach to Predict Heart Disease Using Machine Learning Algorithms and Flask API

  • Sayan Kumar Bose,
  • Shinjohn Ghosh,
  • Sibarati Das,
  • Souhardya Bhowmick,
  • Arpita Talukdar,
  • Lopamudra Dey

摘要

Heart conditions are classified as diverse illnesses with numerous subgroups. To make patient clinical treatment easier, early heart disease diagnosis and prognosis are crucial. Although much research has been done to predict the cause of heart disease. We have tried to build a heart disease detection system using machine learning algorithms. The basic goal of work is to detect whether a person is suffering from heart disease or not. We have also built a GUI using HTML and CSS for our front end and integrated both using flask for the back end. The user interface is available at  https://github.com/SayanKumarBose/FinalYearProject.git .