Predicting Diseases via Big Data in Medical Field
Although medical data is complicated, it can be analyzed and display new insight through AI. This can predict future disease attack and decrease readmission rate or reduce medical expense.
The guideline derived from ACC/AHA, is not a perfect model to predict disease as it does not include any individual’s life style, habits, or risk factors.
As AI can display risk factors of disease without any prejudice or preoccupation, it allows more accurate results than previous standard guideline.
Researchers from Nottingham University, England, identified that analyzed data via artificial intelligence included ethnicity, mental disorder, and oral corticosteroid as a critical risk factor while previous model included diabetes.
When AI, big data, and deep learning are combined together, it will more accurately display result rather than human as people are having limitation of concisely analyzing data.