Big Data and Machine Learning Framework in Healthcare

The rapid technological developments in the healthcare sector have introduced a series of improvements regarding treatment plans, patient care programs, identification of patterns in health outcomes, etc.. This, also, leads to numerous sources of data that can offer a variety of predictions on numerous diseases. The article addresses the technological trends in the field of healthcare and the complexity of data sources and data volumes that can be used for advanced medical predictions. It summarizes the possibilities that Big Data and machine learning can bring in this field through a framework using a Matlab/Simulink prediction simulation of a patient's health and identification of possible heart issue through AzureML.