Application of Machine Learning and Deep Learning in for diagnosis in Medical learning

Abstract

The internet of things provide health data which is increasing day by day, and this data is used to enhance outcome of patient health through machine learning technology in healthcare. It also offers significant challenges to technology, along with promising applications in machine learning. Deep learning is used in three main areas, the language version of medical imaging documents and the collection of inherited material. Many areas emphasis on identification and forecasting. The current data generates a huge structure of health diplomacies but the infrastructure is not always helpful to use such data effectively. Medical information exists in different forms which challenges the appearance of the data. and produces noise. We examine the techniques of machine learning and the brief history and current situation of health care.