7 citations · 10 across the 2 of their papers we have counts for
3 papers
Consensus-based Interpretable Deep Neural Networks with Application to Mortality Prediction
Shaeke Salman, Seyedeh Neelufar Payrovnaziri, Xiuwen Liu +2
Deep neural networks have achieved remarkable success in various challenging tasks. However, the black-box nature of such networks is not acceptable to critical applications, such…
Enhancing Prediction Models for One-Year Mortality in Patients with Acute Myocardial Infarction and Post Myocardial Infarction Syndrome
Seyedeh Neelufar Payrovnaziri, Laura A. Barrett, Daniel Bis +2
Predicting the risk of mortality for patients with acute myocardial infarction (AMI) using electronic health records (EHRs) data can help identify risky patients who might need mor…
Building Computational Models to Predict One-Year Mortality in ICU Patients with Acute Myocardial Infarction and Post Myocardial Infarction Syndrome
Laura A. Barrett, Seyedeh Neelufar Payrovnaziri, Jiang Bian +1
Heart disease remains the leading cause of death in the United States. Compared with risk assessment guidelines that require manual calculation of scores, machine learning-based pr…