Predicting Left Ventricular Ejection Fraction Recovery After Percutaneous Coronary Intervention in Patients With Chronic Coronary Syndrome by Using Interpretable Machine Learning Models: Retrospective Study (Preprint)
Jiayi Ding(Tohoku University), Ryozo Nagai(Jichi Medical University), Takamasa Iwai(National Cerebral and Cardiovascular Center), Kotaro Nochioka(Tohoku University), Masaaki Nakayama(Okayama University), Yusuke Oba(Jichi Medical University), Naoyuki Akashi(Jichi Medical University), Tetsuya Matoba(Kyushu University), Yoshiko Mizuno(Development Bank of Japan), Guanqi Lyu(Tohoku University), Yoshihiro Miyamoto(National Cerebral and Cardiovascular Center), Yasushi Imai(The University of Tokyo), Kenichi Tsujita(Kumamoto University), Hideo Fujita(Jichi Medical University), Kazuomi Kario(Jichi Medical University), Arihiro Kiyosue(University of Tokyo Hospital), Takahide Kohro(Jichi Medical University), Jun Takahashi(Tohoku University Hospital), Taishi Nakamura(Kumamoto University), Masanobu Ishii(Kumamoto University), Hisahiko Sato, Satoshi Yasuda(Tohoku University Hospital), Tomoyuki Kabutoya(Jichi Medical University)
Cited by 0
Related Papers
Brachial-Ankle Pulse Wave Velocity and the Risk Prediction of Cardiovascular Disease
|Hypertension|2017|538
Nighttime Blood Pressure Phenotype and Cardiovascular Prognosis
|Circulation|2020|297
Physiological Diagnostic Criteria for Vascular Failure
|Hypertension|2018|282