Heart Diseases Prediction Using Block-chain and Machine Learning
Muhammad Shoaib Farooq Kiran Amjad
Most people around the globe are dying due to heart disease. The main reason
behind the rapid increase in the death rate due to heart disease is that there
is no infrastructure developed for the healthcare department that can provide a
secure way of data storage and transmission. Due to redundancy in the patient
data, it is difficult for cardiac Professionals to predict the disease early
on. This rapid increase in the death rate due to heart disease can be
controlled by monitoring and eliminating some of the key attributes in the
early stages such as blood pressure, cholesterol level, body weight, and
addiction to smoking. Patient data can be monitored by cardiac Professionals
(Cp) by using the advanced framework in the healthcare departments. Blockchain
is the world's most reliable provider. The use of advanced systems in the
healthcare departments providing new ways of dealing with diseases has been
developed as well. In this article Machine Learning (ML) algorithm known as a
sine-cosine weighted k-nearest neighbor (SCA-WKNN) is used for predicting the
Hearth disease with the maximum accuracy among the existing approaches.
Blockchain technology has been used in the research to secure the data
throughout the session and can give more accurate results using this
technology. The performance of the system can be improved by using this
algorithm and the dataset proposed has been improved by using different
resources as well.