Naoharu Yagi

Comparison of risk models for mortality and cardiovascular events between machine learning and conventional logistic regression analysis

Shinya Suzuki, Takeshi Yamashita, Tsuyoshi Sakama et al. · PLoS ONE · 2019 · 70 citations · Full text

Computing, Cardiology, Machine Learning +16

Incidence and Predictors of Rehospitalization of Acute Heart Failure Patients

Hidehiro Kaneko, Shinya Suzuki, Masato Goto et al. · International Heart Journal · 2015 · 39 citations · Full text

Medicine, Cardiology, Internal Medicine +8

Prediction of biological age and all-cause mortality by 12-lead electrocardiogram in patients without structural heart disease

Naomi Hirota, Shinya Suzuki, Takuto Arita et al. · BMC Geriatrics · 2021 · 35 citations · Full text

Medicine, Cardiology, Geriatric Medicine +16

Exploratory Analysis of Circulating miRNA Signatures in Atrial Fibrillation Patients Determining Potential Biomarkers to Support Decision-Making in Anticoagulation and Catheter Ablation

Naoki Kiyosawa, Kenji Watanabe, Y Morishima et al. · International Journal of Molecular Sciences · 2020 · 22 citations · Full text

Life Sciences, Cardiology, Molecular Biology +16

Cardiovascular events and artificial intelligence-predicted age using 12-lead electrocardiograms

Naomi Hirota, Shinya Suzuki, Jun Motogi et al. · IJC Heart & Vasculature · 2023 · 21 citations · Full text

Computing, Cardiology, Computer Science +17