Diagnosing type 1 diabetics symptoms using using big data analytics in youth

Nothing is more important than a healthy and peaceful life. A healthy life can be achieved with the alertness and awareness about the changes occurring in the human body system. An old saying that ^prevention is better than cure^goes very well here. One can prevent the adverse conditions when they are aware before they occur and when the people are well equipped with the knowledge. Today, the world has been excited about machine learning and big data and the advancement in analytics. Big Data has proved its incredible influence from the global market to day-to-day life. The term Big Data is used to specify the huge volume of both structured and unstructured data. Big Data Analytics is the use of advanced analytical techniques against very large and diverse data sets that include different types and sizes. Big Data Analytics improves the health care system through the reduction run time and the optimal cost. It can assist the clinicians in decision making regarding any disease and improve patient compliance and satisfaction. This paper aims to diagnose the cause of sudden type 1 diabetics among young people (age ranging 28 years to 32 years) without any known symptoms. Unfortunately, medically the reason for the same has not been diagnosed. (author)