Analyzing Electronic Medical Records to Predict Risk of DIT (Death, Intubation, or Transfer to ICU) in Pediatric Respiratory Failure or Related Conditions.
Article in AMIA Joint Summits on Translational Science Proceedings (July 2017)
The most recent citing publications are shown below. View all 3 publications that cite this research output on Dimensions.
Machine learning methods to predict child posttraumatic stress: a proof of concept study
Article in BMC Psychiatry (July 2017)
Building a knowledge base to assist clinical decision-making using the Pediatric Research Database (PRD) and machine learning: a case study on pediatric asthma patients
Article in BMC Bioinformatics (September 2014)