output
20122024
most citedDeep EHR: A Survey of Recent Advances in Deep Learning Techniques for Electronic Health Record (EHR) Analysis

1.7k citations

Showing cs.LGShow all

5 papers · 1 filter

cs.LG2019★ 67 cited

Federated Learning for Healthcare Informatics

Jie Xu, Benjamin S. Glicksberg, Chang Su +3

With the rapid development of computer software and hardware technologies, more and more healthcare data are becoming readily available from clinical institutions, patients, insura…

cs.LG2019★ 7 cited

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…

cs.LG2018★ 3 cited

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…

cs.LG2017★ 3 cited

Learning Pain from Action Unit Combinations: A Weakly Supervised Approach via Multiple Instance Learning

Zhanli Chen, Rashid Ansari, Diana J. Wilkie

Patient pain can be detected highly reliably from facial expressions using a set of facial muscle-based action units (AUs) defined by the Facial Action Coding System (FACS). A key…

cs.LG2017★ 1.7k cited

Deep EHR: A Survey of Recent Advances in Deep Learning Techniques for Electronic Health Record (EHR) Analysis

Benjamin Shickel, Patrick Tighe, Azra Bihorac +1

The past decade has seen an explosion in the amount of digital information stored in electronic health records (EHR). While primarily designed for archiving patient clinical inform…