Development and External Validation of a Machine Learning-Based Bleeding Risk Score for Patients Undergoing Percutaneous Coronary Intervention
Background: Conventional bleeding risk scores after percutaneous coronary intervention (PCI) have limited discrimination and external validation, so we developed and validated a machine learning (ML)-based bleeding risk score using real-world data.
Authors
- A Kiyosue
- N Akashi
- Hisaki Makimoto (ORCID: https://orcid.org/0000-0002-5302-2874)
- Tomoyuki Kabutoya (ORCID: https://orcid.org/0000-0002-5439-4303)
- Taishi Nakamura (ORCID: https://orcid.org/0000-0002-1205-3252)
- Tatsuya Tokai
- Takamasa Iwai (ORCID: https://orcid.org/0000-0002-8961-2390)
- Kotaro Nochioka (ORCID: https://orcid.org/0000-0001-8297-8624)
- Yusuke Oba
- Satoshi Kodera (ORCID: https://orcid.org/0000-0003-2908-6875)
- Tetsuya Matoba (ORCID: https://orcid.org/0000-0003-4563-304X)
- So Ikebe
- Yoshiko Mizuno (ORCID: https://orcid.org/0000-0002-5976-7463)
- Yasuhiro Nakano
- Ryozo Nagai (ORCID: https://orcid.org/0000-0002-0911-7868)
- M Nakayama
- H Fujita
- Y Imai
- K Kario
- Y Miyamoto
- K Tsujita
- Takahide Kohro
- Hisahiko Sato
- Masanobu Ishii
Institutions
- Kyushu University (JP)
- Jichi Medical University (JP)
- Development Bank of Japan (JP)
- Tohoku University (JP)
- Tohoku University Hospital (JP)
- University of Tokyo Hospital (JP)
- National Cerebral and Cardiovascular Center (JP)
- Precision for Medicine (United States) (US)
- Precision Research (United States) (US)
- Jichi Medical University Hospital (JP)
- Jichi Medical University Saitama Medical Center (JP)
- Kumamoto University (JP)
Publication Details
- Journal
- Circulation Reports
- Published
- 2026-07-02
- DOI
- https://doi.org/10.1253/circrep.cr-26-0116
- Primary Topic
- Coronary Interventions and Diagnostics
- Type
- article
- Field-Weighted Citation Impact
- 0.00
Funders
- Kowa Company