About

NIH Funded

RESCU-ER

This project works towards reducing rural-urban disparity in pediatric mortality from life-threatening emergencies. We have conducted an in-depth investigation on the epidemiology of rural child outcomes and developed an app that consists of a cognitive aid intervention for pediatric cardiac arrest and infant resuscitation. Our experienced team aims to identify modifiable factors and enhance EMS performance to improve survival and outcomes for rural children.

Research

Machine Learning to

detect adverse safety

events

An automated system based on ontology-driven NLP techniques to identify adverse safety events.

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