| Budget Amount *help |
¥5,070,000 (Direct Cost: ¥3,900,000、Indirect Cost: ¥1,170,000)
Fiscal Year 2016: ¥1,300,000 (Direct Cost: ¥1,000,000、Indirect Cost: ¥300,000)
Fiscal Year 2015: ¥1,300,000 (Direct Cost: ¥1,000,000、Indirect Cost: ¥300,000)
Fiscal Year 2014: ¥2,470,000 (Direct Cost: ¥1,900,000、Indirect Cost: ¥570,000)
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| Outline of Final Research Achievements |
We deveoped coronary heart disease (CHD) risk score, called Suita Score based on 10 years follo-up results from Suita study for praimary prevention. We also devoped the risk score for major cardiac disease( MACE) prediction score based on the follow-up data of 1920 prospective observaional cases with cariovascular diseases using machine learnig. We adopted ensemble learning with support vectors and random forests to predict 1 year MACE in the socondary prevention using around 40 rountinely used biomarkers in daily practices. The total acuracy was around 90% and it was reproudcible in validation data sets, with more precise prediction ability than existing MACE prediction model, such as GRACE socre.
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