Applying Cloud Based Machine Learning on Biosensors Streaming Data for Health Status Prediction

The healthcare big data including medical history, Physician reports, prescription, parents and family historical diseases, laboratories, and scan reports can help in disease detection and prediction process. The article presents an overview of the recent technologies and methods in the medical area to get the benefits of cloud systems, data science, and machine algorithms. The paper presents also how can current technologies like Spark can be used to employ streaming data for healthcare applications. Big medical data analysis is a big area of research and the article shows some advanced analysis impact on disease detection and predictions. The proposed system employed an optimized Support Vector Machine classifier with performing the parameter tuning to increase the accuracy of the classification, and efficiency. The proposed system uses wearable devices and sensors to get the data of heart rate, diabetes, and blood pressure of the users to analyze and predict heart diseases with the help of the user healthcare profile on the cloud system.