activity
20172020
most citedDeep EHR: A Survey of Recent Advances in Deep Learning Techniques for Electronic Health Record (EHR) Analysis

1.7k citations · 2.4k across the 16 of their papers we have counts for

collaborators
Showing 2018Show all

5 papers · 1 filter

cs.SI2018

Does the Position of Surgical Service Providers in Intra-Operative Networks Matter? Analyzing the Impact of Influencing Factors on Patients' Outcome

Ashkan Ebadi, Patrick J. Tighe, Lei Zhang +1

We analyzed the relation between surgical service providers' network structure and surgical team size with patient outcome during the operation. We did correlation analysis to eval…

cs.CY2018★ 98 cited

Improved Predictive Models for Acute Kidney Injury with IDEAs: Intraoperative Data Embedded Analytics

Lasith Adhikari, Tezcan Ozrazgat-Baslanti, Paul Thottakkara +5

Acute kidney injury (AKI) is a common and serious complication after a surgery which is associated with morbidity and mortality. The majority of existing perioperative AKI risk sco…

cs.HC2018★ 12 cited

The Intelligent ICU Pilot Study: Using Artificial Intelligence Technology for Autonomous Patient Monitoring

Anis Davoudi, Kumar Rohit Malhotra, Benjamin Shickel +8

Currently, many critical care indices are repetitively assessed and recorded by overburdened nurses, e.g. physical function or facial pain expressions of nonverbal patients. In add…

cs.SI2018

A Quest for the Structure of Intra- and Postoperative Surgical Team Networks: Does the Small World Property Evolve over Time?

Ashkan Ebadi, Patrick J. Tighe, Lei Zheng +1

We examined the structure of intra- and postoperative case-collaboration networks among the surgical service providers in a quaternary-care academic medical center, using retrospec…

cs.LG2018★ 152 cited

DeepSOFA: A Continuous Acuity Score for Critically Ill Patients using Clinically Interpretable Deep Learning

Benjamin Shickel, Tyler J. Loftus, Lasith Adhikari +3

Traditional methods for assessing illness severity and predicting in-hospital mortality among critically ill patients require time-consuming, error-prone calculations using static…