Julian S. Haimovich

Use of Machine Learning Models to Predict Death After Acute Myocardial Infarction

Rohan Khera, Julian S. Haimovich, Nathan C. Hurley et al. · JAMA Cardiology · 2021 · 288 citations · Full text

Computing, Cardiology, Data Science +17

Enhancing the prediction of acute kidney injury risk after percutaneous coronary intervention using machine learning techniques: A retrospective cohort study

Chenxi Huang, Karthik Murugiah, Shiwani Mahajan et al. · PLoS Medicine · 2018 · 133 citations · Full text

Medicine, Cardiology, Interventional Cardiology +16

Accelerometer-derived physical activity and risk of atrial fibrillation

Shaan Khurshid, Lu‐Chen Weng, Mostafa A. Al‐Alusi et al. · European Heart Journal · 2021 · 90 citations · Full text

Medicine, Cardiology, Preventive Medicine +17

Cohort design and natural language processing to reduce bias in electronic health records research

Shaan Khurshid, Christopher Reeder, Lia X. Harrington et al. · npj Digital Medicine · 2022 · 82 citations · Full text

Computing, Biomedical Informatics, Health Informatics +13

Deep Learning–Enabled Assessment of Left Heart Structure and Function Predicts Cardiovascular Outcomes

Emily S. Lau, Paolo Di Achille, Kavya Kopparapu et al. · Journal of the American College of Cardiology · 2023 · 64 citations · Full text

Medicine, Biomedical Engineering, Cardiology +15