Robinder G. Khemani

Publication Activity (10 Years)

Years Active: 2011-2023
Publications (10 Years): 3

Top Topics

Learning Models

Knowledge Domains

Top Venues

Biomed. Signal Process. Control.

J. Am. Medical Informatics Assoc.

Publications

Ishmael Obeso, Benjamin Yoon, David R. Ledbetter, Melissa Aczon, Eugene Laksana, Alice X. Zhou, R. Andrew Eckberg, Keith Mertan, Robinder G. Khemani, Randall C. Wetzel
A novel application of spectrograms with machine learning can detect patient ventilator dyssynchrony. Biomed. Signal Process. Control. 86 (Part C) (2023)
Julie A. Lundstrom, Robinder G. Khemani, Justin Hotz, Christopher J. L. Newth, Satyanarayana Achanta, Michael A. Gentile, Daniel S. Hedin
Development of a Pleural Pressure Catheter via Continuous Fiberoptic Esophageal Pressure Measurements. EMBC (2022)
Zhengping Che, Sanjay Purushotham, Robinder G. Khemani, Yan Liu
Interpretable Deep Models for ICU Outcome Prediction. AMIA (2016)
Zhengping Che, Sanjay Purushotham, Robinder G. Khemani, Yan Liu
Distilling Knowledge from Deep Networks with Applications to Healthcare Domain. CoRR (2015)
L. Nelson Sanchez-Pinto, Robinder G. Khemani
Predicting Acute Kidney Injury in Critically Ill Children Using Electronic Health Record Data - A Comparison of Four Statistical Learning Models. AMIA (2015)
Katherine A. Sward, Christopher J. L. Newth, Robinder G. Khemani, J. Michael Dean
Data-driven knowledge base evaluation: Translating an adult CDS tool for use in pediatric care. AMIA (2015)
Lewis J. Frey, Katherine A. Sward, Christopher J. L. Newth, Robinder G. Khemani, Martin E. Cryer, Julie L. Thelen, Rene Enriquez, Su Shaoyu, Murray M. Pollack, Rick E. Harrison, Kathleen L. Meert, Robert A. Berg, David L. Wessel, Thomas P. Shanley, Heidi Dalton, Joseph Carcillo, Tammara L. Jenkins, J. Michael Dean
Virtualization of open-source secure web services to support data exchange in a pediatric critical care research network. J. Am. Medical Informatics Assoc. 22 (6) (2015)
Benjamin M. Marlin, David C. Kale, Robinder G. Khemani, Randall C. Wetzel
Unsupervised pattern discovery in electronic health care data using probabilistic clustering models. IHI (2012)
Daniel J. Crichton, Chris A. Mattmann, Andrew F. Hart, David C. Kale, Robinder G. Khemani, Patrick Ross, Sarah Rubin, Paul Veeravatanayothin, Amy Braverman, Cameron Goodale, Randall C. Wetzel
An informatics architecture for the Virtual Pediatric Intensive Care Unit. CBMS (2011)