An Effective Analysis on Cloud Computing in Healthcare Diagnosis and Prediction Systems

Abstract

In recent times, cloud computing (CC) gains more attention in diverse fields like healthcare, business, e-commerce, education, entertainment, etc. Cloud-based systems and applications enables easier communication of medical data enhance accessibility and offer healthcare coverage to the patients at the time of prevention, treatment and recovery stages. Several studies have been carried out in the cloud based detection and diagnosis of the diseases.Though some of the surveys have been exist in the literature, none of the survey have focused mainly on the cloud based diagnosis of particular diseases. This paper performs a detailed survey of cloud based healthcare diagnosis model for three diseases namely diabetes, heart disease and chronic kidney disease (CKD). This paper reviews the machine learning (ML), deep learning (DL) and other intelligent cloud based diagnosis models for the three diseases. A detailed introduction to the cloud based healthcare system is also provided. Besides, the reviews of the techniques are made with respect to aim, underlying technique, diagnosed disease and experimental results. At the end of the survey, a detailed comparative study has also been made to examine the possible future work for the readers.