| Budget Amount *help |
¥12,220,000 (Direct Cost: ¥9,400,000、Indirect Cost: ¥2,820,000)
Fiscal Year 2019: ¥2,860,000 (Direct Cost: ¥2,200,000、Indirect Cost: ¥660,000)
Fiscal Year 2018: ¥2,860,000 (Direct Cost: ¥2,200,000、Indirect Cost: ¥660,000)
Fiscal Year 2017: ¥6,500,000 (Direct Cost: ¥5,000,000、Indirect Cost: ¥1,500,000)
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| Outline of Final Research Achievements |
The purpose of this study is to precisely predict myocardial infarction by using artificial intelligence application technologies such as machine learning and cognitive computing using cardiovascular big data.
We succeeded in automatically extracting data from electronic medical records and other systems, built a big cardiovascular database, and verified its validity. Through this research, I can propose a prediction algorithm that applies electronic medical record information and artificial intelligence technology.
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