An improved ensemble learning approach for the prediction of cardiovascular disease using majority voting prediction

A Secure Remote Health Monitoring for Heart Disease Prediction Using Machine Learning and Deep Learning Techniques in Explainable Artificial Intelligence Framework

“…The sensor layer is used to collect the data using various medical IoT sensors. Using ML-based applications, physicians can continuously analyze their patients' diseases and health status using IoT-medical sensors [9]. After the patient data are collected through the sensors, the data are transferred to cloud storage using encryption and decryption techniques to prevent unauthorized users from accessing it.…”

A Secure IoT-Cloud Based Remote Health Monitoring for Heart Disease Prediction Using Machine Learning and Deep Learning Techniques

“…Based on the results of several base models, a voting classifier can forecast the outcome of a vote [11]. The output of each estimator can be voted on separately to build the aggregation criterion.…”