Blockchain-based Secure Healthcare for Cardio Disease Prediction
Ankita Jagtap, Arbaaz Bebal, Nomit Bhatnagar, Pratiksha Kamthe, Prof. Gajanan Arsalwad · International Journal for Research in Applied Science and Engineering Technology · 2022
Abstract: Heart disease is the commonest explanation for death globally. According to a recent study by the Indian Council of Medical Research (ICMR), about 25% of deaths between the ages of 25-69 years cause due to of different heart-related problems. Cardiovascular diseases are the highest increased diseases. The shortage of specialists and high wrongly diagnosed cases have necessitated the necessity to develop a quick and efficient detection system. So weshould always even have jumped on techniques and methods used for alertness and care to avoid the overtime of the people due to the guts attack. By applying machine learningtechniques the prediction of the disease is often done. Blockchain technology has the potential to avoid fraud and data leakage. It can make better coordination between patient and hospital. The proposed system increases data security and removes the cost, time, and resources required to manage the patient's data and results. Keywords Blockchain Healthcare Machine LearningArrhythmia