Consensus-based Interpretable Deep Neural Networks with Application to Mortality Prediction

no code implementations • 14 May 2019 • Shaeke Salman, Seyedeh Neelufar Payrovnaziri, Xiuwen Liu, Pablo Rengifo-Moreno, Zhe He

In particular, while the proposed method maintains similar interpretability as conventional shallow models such as logistic regression, it improves the prediction accuracy significantly.

Feature Importance Mortality Prediction

Enhancing Prediction Models for One-Year Mortality in Patients with Acute Myocardial Infarction and Post Myocardial Infarction Syndrome

no code implementations • 28 Apr 2019 • Seyedeh Neelufar Payrovnaziri, Laura A. Barrett, Daniel Bis, Jiang Bian, Zhe He

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 more tailored care.

Building Computational Models to Predict One-Year Mortality in ICU Patients with Acute Myocardial Infarction and Post Myocardial Infarction Syndrome

no code implementations • 12 Dec 2018 • Laura A. Barrett, Seyedeh Neelufar Payrovnaziri, Jiang Bian, Zhe He

Heart disease remains the leading cause of death in the United States.

BIG-bench Machine Learning