Advanced Healthcare Systems

10Cloud-IoT Secured Prediction System for Processing and Analysis of Healthcare Data Using Machine Learning Techniques

G. K. Kamalam^* and S. Anitha^†

Department of Information Technology, Kongu Engineering College, Perundurai, Erode, Tamilnadu, India

Abstract

Data analysis converts raw data into information useful for decision-making. In recent years, the most promising research area is healthcare data analysis. For efficient analysis of data, the critical tool emerged is machine learning (ML) that uses various statistical techniques and algorithms like supervised, unsupervised, and reinforcement to predict the results of data analysis on healthcare data more precisely. In ML, various algorithms, such as supervised learning, unsupervised learning, and reinforcement learning algorithms, are used for analysis. For analyzing different healthcare data, the chapter describes varied categories of ML techniques and commonly used probability distributions in Data Science like Bernoulli, Uniform, Binomial, and Normal (Gaussian) Distribution. In the healthcare field, cloud technology and Internet of Things (IoT) offer several opportunities to clinical IT. It improves healthcare services by identifying the disease caused by the human body and contributing its non-stop methodical innovation in a massive information domain. To manipulate patient records in cloud-IoT environments is still a big challenge because of extensive data. A new model does not require the intervention of human to analyze ...