Semester of Graduation
Theses & dissertations (College of Business)
First Major Professor
Second Major Professor
Master of Science (MS)
Acute myocardial infarction (heart attack) is one of the deadliest disease patients face. One of every three deaths in United States is caused by heart disease. The key to cardiovascular disease management is to examine large number of datasets, compare and mine for information that can be used to predict, prevent, manage and treat heart attacks. Predictive analytics, by using Big Data analytics, is expected to help in the prediction, prevention, management and treatment of cardiovascular disease. Consumer wearable electronics has been a great provider of health- related data in past few years. The growing popularity of such devices among consumers is providing a thorough statistics of person’s day to day health status. This data can be very useful is a proactive approach for heart health monitoring which would in turn avoid any danger of potential heart disease. There is a huge market for such devices which is growing at an exponential rate. Although comprehensive and scalable, the data from such devices still can not predict hear disease chances with high confidence. There is a lot to be done for the data to be able to tell accurately about complex human body. There also are some data security risks associated with the use of such devices.
The future for such devices looks very promising with the increasing sophisticated technologies making the observation more accurate and useful. The day is not far when the doctors will use smartwatch’s data in their analysis to accurately predict about any impending disease.
Tiwari, Ashish, "Role of Consumer Electronics in Heart Disease Prediction" (2019). Creative Components. 265.