An informatics architecture for the Virtual Pediatric Intensive Care Unit. - 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 (CBMS, 2011)

Unsupervised pattern discovery in electronic health care data using probabilistic clustering models. - Benjamin M. Marlin; David C. Kale; Robinder G. Khemani; Randall C. Wetzel (IHI, 2012)

Predicting Acute Kidney Injury in Critically Ill Children Using Electronic Health Record Data - A Comparison of Four Statistical Learning Models. - L. Nelson Sanchez-Pinto; Robinder G. Khemani (AMIA, 2015)

Data-driven knowledge base evaluation: Translating an adult CDS tool for use in pediatric care. - Katherine A. Sward; Christopher J. L. Newth; Robinder G. Khemani; J. Michael Dean (AMIA, 2015)

Distilling Knowledge from Deep Networks with Applications to Healthcare Domain. - Zhengping Che; Sanjay Purushotham; Robinder G. Khemani; Yan Liu 002 (CoRR, 2015)

Virtualization of open-source secure web services to support data exchange in a pediatric critical care research network. - 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; et al. (J. Am. Medical Informatics Assoc., 2015)

Interpretable Deep Models for ICU Outcome Prediction. - Zhengping Che; Sanjay Purushotham; Robinder G. Khemani; Yan Liu 002 (AMIA, 2016)

Time Series Feature Learning with Applications to Health Care. - Zhengping Che; Sanjay Purushotham; David C. Kale; Wenzhe Li; Mohammad Taha Bahadori; Robinder G. Khemani; Yan Liu 002 (Mobile Health - Sensors, Analytic Methods, and Applications, 2017)

Development of a Pleural Pressure Catheter via Continuous Fiberoptic Esophageal Pressure Measurements. - Julie A. Lundstrom; Robinder G. Khemani; Justin Hotz; Christopher J. L. Newth; Satyanarayana Achanta; Michael A. Gentile; Daniel S. Hedin (EMBC, 2022)

A novel application of spectrograms with machine learning can detect patient ventilator dyssynchrony. - 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 (Biomed. Signal Process. Control., 2023)