This is a Python- based implementation of various (at least 10) Research Studies/ Articles/ proposals already published on the task of heart disease prediction using Machine Learning and accomplishment the same results. The contributors to this project are:
To reuse the code file/s or visual resources, please cite us at-
- Raina A., Sumbria S. Comparative Analysis of various Research proposals at the task of Heart Disease Prediction [Internet]. Projects on Machine Learning and Deep Learning. 2021 [cited 2 February 2021]. Available from: https://akshayraina.in/projects/Heart-Disease-Prediction
Index-
- Details of the Papers/ Articles Implemented
- Traversing the Repo
- Heart Disease Prediction using Multilayer Perceptron Algorithm
- Cite at: Kirmani MM. Heart disease prediction using multilayer perceptron algorithm. International Journal of Advanced Research in Computer Science. 2017 May 15;8(5)
- Methodology: MM Kirmani used the Multilayer Perceptron Model with hidden layers and back- propagation to classify an instance into diseased or fit. He also used the 10- fold cross validation with an intention to overcome imbalance of fitting.
- Dataset Used: Cleveland from the UCI ML Repository.
- HDPM: An Effective Heart Disease Prediction Model for a Clinical Decision Support System
- Cite at: Fitriyani NL, Syafrudin M, Alfian G, Rhee J. HDPM: An Effective Heart Disease Prediction Model for a Clinical Decision Support System. IEEE Access. 2020 Jul 20;8:133034-50.
- Methodology:
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