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

1.7k citations

Showing 2017Show all

5 papers · 1 filter

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.CR2017★ 12 cited

Learning Fast and Slow: PROPEDEUTICA for Real-time Malware Detection

Ruimin Sun, Xiaoyong Yuan, Pan He +5

Existing malware detectors on safety-critical devices have difficulties in runtime detection due to the performance overhead. In this paper, we introduce PROPEDEUTICA, a framework…

q-bio.NC2017★ 26 cited

Mutual Information in Frequency and its Application to Measure Cross-Frequency Coupling in Epilepsy

Rakesh Malladi, Don H Johnson, Giridhar P Kalamangalam +2

We define a metric, mutual information in frequency (MI-in-frequency), to detect and quantify the statistical dependence between different frequency components in the data, referre…

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…

cs.CY2017

Learning Bundled Care Opportunities from Electronic Medical Records

You Chen, Abel N. Kho, David Liebovitz +4

Objectives: The fee-for-service approach to healthcare leads to the management of a patient's conditions in an independent manner, inducing various negative consequences. It is rec…