Heart Disease Prediction System


  • Shwetank Mishra Ramrao Adik Institute of Technology https://orcid.org/0000-0001-6248-9129
  • Satya Vijay Neurkar RamraoAdik Institute of Technology, Nerul, Navi Mumbai, 400706 India
  • Riddhesh Patil RamraoAdik Institute of Technology, Nerul, Navi Mumbai, 400706 India
  • Sharmila Petkar RamraoAdik Institute of Technology, Nerul, Navi Mumbai, 400706 India


Machine Learning, Flask, Artificial Neural Network, Random Forest, Data analysis


It might have happened many times that you need doctors to facilitate instantly, however, they’re not always available, or sometimes it’s all about the formalities before checkin thanks for some reason. This project is based on the Web Application for Online Consultancy for people all around the world. This WebApp allows us to consult ourselves while sitting at our home. Here we propose a system that enables users to urge instant direction on their health problems through an associate intelligent health care system. Nowadays, health diseases are increasing day by day due to lifestyle, hereditary. Each individual has different values for Blood pressure, Cholesterol, and Pulse rate. This project comprises different classification techniques used for predicting the risk level of each person based on Age, Gender, Blood pressure, Cholesterol, Pulse rate, etc. The system analyzes the symptoms provided by the user as input and predicts the occurrence of the disease as an output. Disease Prediction is done by implementing six algorithm techniques such as KNN, Decision Tree, Logistic Regression and Random Forest, SVM, Artificial Neural Network with 1 hidden layer. This project also provides an intuition on EDA. Further, the web platform is composed of predicting the health risk of the user, providing the users with necessary suggestions depending on their health conditions.


Download data is not yet available.


M. K. Awang and F. Siraj, “Utilization of an artificial neural network in the prediction of heart disease," Int. J. Bio- Science Bio-Technology, vol. 5, no. 4, pp. 159-165, 2013.

P. Selvakumar and S. P. Rajagopalan, “A survey on neural network models for heart disease prediction," J. Theor. Appl. Inf. Technol., vol. 67, no. 2, pp. 485-497, 2014.

A. Methaila, P. Kansal, H. Arya, and P. Kumar, “Early Heart Disease Prediction Using Data Mining Techniques," vol. 6956, no. October, pp. 53-59, 2014.

I. S. F. Dessai, “Intelligent Heart Disease Prediction System Using Probabilistic Neural Network," no. 5, pp. 38-44, 2013.

T. Karayilan and O. Kilic, “Prediction of Heart disease using neural network," in 2nd International Conference on Computer Science and Engineering, UBMK 2017, 2017, pp. 719-723.

M. Mardiyono, R. Suryanita, and A. Adnan, Intelligent Monitoring System on Prediction of Building Damage Index using Neural-Network," TELKOMNIKA (Telecommunication Comput. Electron. Control., vol. 10, no. 1, p. 155, 2015.

N. Guru, A. Dahiya, and N. Rajpal, “Decision support system for heart disease diagnosis using Neural Network," 2007.

Kim, Jae Kwon, and Sanggil Kang. "Neural network based coronary heart disease risk prediction using feature correlation analysis." Journal of healthcare engineering 2017.

MA.Jabbar, B.L Deekshatulu, Priti Chandra, “An evolutionary algorithm for heart disease prediction” CCIS, PP 378- 389 , Springer(2012).


Jagdeep Singh, Amit Kamra, Harbhag Singh ”Prediction of Heart Diseases Using Associative Classification” 2016.

scikit-learn, keras, pandas and matplotlib




How to Cite

Shwetank Mishra, S. V. . Neurkar, R. . Patil, and S. Petkar, “Heart Disease Prediction System”, Int J Eng and Appl Phys, vol. 1, no. 2, pp. 179–185, May 2021.