Precision medicine of myocardial infarction by a new dimension approach using medical bigdata and artificial intelligence
| Project/Area Number |
17H05078
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| Research Category |
Grant-in-Aid for Young Scientists (A)
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| Allocation Type | Single-year Grants |
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| Research Field |
Epidemiology and preventive medicine
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| Research Institution | National Cardiovascular Center Research Institute |
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Principal Investigator |
Nakao Yoko 国立研究開発法人国立循環器病研究センター, オープンイノベーションセンター, 室長 (90752824)
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| Project Period (FY) |
2017-04-01 – 2020-03-31
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| Project Status |
Completed (Fiscal Year 2020)
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| 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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| Keywords | 心筋梗塞 / 医療ビッグデータ / 人工知能 / 予測 / 疫学 / プレシジョン医療 / 循環器疫学 / テキストマイニング / 予防 / 循環器疾患 / レジストリ / ビッグデータ / 循環器 / 自然言語 |
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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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| Academic Significance and Societal Importance of the Research Achievements |
患者1人1人の診療録内にある膨大な臨床情報を深く分析することで、医療ビッグデータを用いた循環器領域におけるプレシジョン医療の実現につながる。
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Report
(4 results)
Research Products
(5 results)
