ABSTRACT
Cloud computing technologies are being widely used in the healthcare industry in numerous ways. International Data Corporation estimated healthcare providers will account for 48% of total spending on industry cloud in 2018–2019. Machine learning or data analytics play a very important role in creating intelligent systems that will help humans achieve efficient healthcare solutions. Thus, cloud computing and machine learning can be used together, known as intelligent cloud, to discover new and effective ways of treatment. This chapter discusses few advantages of building an intelligent healthcare system: scalability, reliability, cost efficient research, dynamic data, communication, and security. Convolution neural networks have a very large learning capacity which make strong and mostly correct assumptions about the nature of images. It is also well known that the success of these networks largely depends on how much bigger a dataset is and how well trained the network is.
