Presentation

  • R. Kamaleswaran “Early prediction of sepsis in children and adults using machine learning” Internal Medicine Conference, Allegheny General Hospital, Pittsburgh, PA, April 2019

  • R. Kamaleswaran “Artificial Intelligence Applied to Continuous Physiological Data Streams for Prediction of Clinical Deterioration” Cincinnati Children’s Hospital Medical Center, Cincinnati, OH, March 2019

  • R. Kamaleswaran “Sepsis Prediction using High-Frequency Data Streams: A path towards clinical implementation” West Penn Hospital Academic Meeting, Pittsburgh, PA, February 2019

  • R. Kamaleswaran “Artificial Intelligence in Critical Care: Progress towards a Real-time Intelligent Learning System” Centre hospitalier universitaire Sainte-Justine, Montreal, QC, Canada, January 2019

  • R. Kamaleswaran O. Akbilgic and R.L. Davis “Integrating EMR and biomarkers with continuous high frequency data streams” Transplant Research Institute, Memphis TN, December 2018

  • R. Kamaleswaran and S. H. Shah “Applying Artificial Intelligence in the PICU” Center for Health Systems Improvement, Memphis TN, September 2018

  • R. Kamaleswaran, “Machine learning in Medicine”, Hu Lab, University of California San Francisco, San Francisco, CA. August 2018.

  • R. Kamaleswaran, “Predictive Analytics of Abnormal Events in the Critical Care Unit using Physiological Data Streams”, ADEPT4 Workshop, Office of Pediatric Therapeutics (OPT), FDA September 2017

  • R. Kamaleswaran, “Big Data in Critical Care”, Statistical Research Group, University of Tennessee Health Science Center, July 2017

  • R. Kamaleswaran, “Moving towards Predictive Analytics in Real Time in Intensive Care Units”, Indian Institute of Information Technology (IIIT Bangalore), June 2017, Bangalore India

  • R. Kamaleswaran, “Event Stream Processing of Biosensor Data in the Intensive Care Unit”, Indian Institute of Science (IISc Bangalore), June 2017, Bangalore India

  • R. Kamaleswaran, “Dynamic Visual Analytics and Online Event Stream Analytics”, UT/KBRIN Bioinformatics Summit April 21-23, 2017 Montgomery Bell State Park, TN.

  • R. Kamaleswaran, “Precision Medicine: Applying analytics at the bedside through real-time complex event stream processing of heterogeneous sensor networks”, Computer Science Colloquium Series, University of Memphis, March 17, 2017

  • R. Kamaleswaran, O. Akbilgic “Machine Learning in Healthcare” Center for Biomedical Informatics, University of Tennessee Health Science Center, Memphis, TN January 2017

  • R. Kamaleswaran, “Data-driven Healthcare” Le Bonheur Research Center, Memphis, TN December 2016

  • R. Kamaleswaran, “Complex Business Processes for Event Stream Processing”, University of Ontario Institute of Technology, Oshawa, Canada, August 2016

  • R. Kamaleswaran, “PhysioEx: visual analysis of physiological event streams”, 18th EG/VGTC Conference on Visualization, Groningen, Netherlands, June 2016

  • R. Kamaleswaran “Visualizing Neonatal Spells: Temporal Visualization of High Frequency Cardiorespiratory Physiological Event Streams” Oshawa, Canada, June 2016