Eight of the Top 10 causes of death in Taiwan in 2020 are related to obesity. The National Health Research Institutes is working with a hospital and a corporation on a smart prediction system to analyze data for future trends with an emphasis on prevention.
This patient has a normal electrocardiogram, but AI analysis put his heart attack risk at 66 percent based on his genetic metabolites and clinical data. Further tests revealed he did indeed have a blocked coronary artery. This obesity smart prediction system was jointly developed by the National Health Research Institutes, Chang Gung Memorial Hospital, and Acer. As eight of the Top 10 causes of death in Taiwan are related to obesity, the system is aimed at using national health and clinical data to prevent disease.
Sytwu Huey-kang, Vice President, National Health Research Institutes: “We want to use genetic information to accurately predict the molecular pathogenic mechanisms of obesity-related diseases for accurate diagnoses and accurate predictions in the future.”
The NHRI says a polysomic disease database can monitor national health long-term and be used to develop a smart prediction system for the prevention of metabolic disorders. The team has found young people that wouldn't generally be considered at-risk with high risk.
Yeh Chi-hsiao, Cardiac Surgeon: “We identified many completely normal patients with coronary stenosis. They had completely normal electrocardiograms. We had one patient that underwent leg surgery last year. He had a completely normal EKG before his surgery. This year, he had a heart attack. We found that he had three blocked coronary arteries.”
Using AI and big data, the team has identified a set of biomarkers related to diabetes and renal disease. The system has an accuracy rate of at least 75% and will be used in the future for early diagnosis and early treatment.