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ビッグデータ・機械学習を用いたアブレーション治療の有効性・安全性予測モデルの作成
Research Project
All
Fiscal Year 2024
grantAwardInfo
Project/Area Number
23K24623
Research Category
Grant-in-Aid for Scientific Research (B)
Allocation Type
Multi-year Fund
Section
一般
Review Section
Basic Section 58030:Hygiene and public health-related: excluding laboratory approach
Research Institution
National Cardiovascular Center Research Institute
Principal Investigator
草野 研吾
国立研究開発法人国立循環器病研究センター, 病院, 副院長 (60314689)
Project Period (FY)
2024-02-28 – 2025-03-31
Project Status
Adopted (Fiscal Year 2024)
Budget Amount
*help
¥4,810,000 (Direct Cost: ¥3,700,000、Indirect Cost: ¥1,110,000)
Fiscal Year 2024: ¥4,810,000 (Direct Cost: ¥3,700,000、Indirect Cost: ¥1,110,000)