Leveraging Big Data and Machine Learning in Healthcare Systems for Disease Diagnosis

Substantial technology advancements in the medicare industry have resulted in a slew of advances in therapeutic interventions, patient health assistance programmes, identifying trends in medical consequences, and so on. This also contributes to a plethora of information resources that can provide a range of forecasts on a lot of illnesses. The paper mentions technology advances in health sector, as well as the intricacy of systems and data quantities that may be utilized to make sophisticated clinical forecasts. It illustrates the opportunities that Big Data (BD) and Machine Learning (ML) might offer to this profession by employing a system that uses a Matlab/Simulink predictive model of a person’s health and AzureML to identify potential cardiac issues.