Artificial Intelligence

Identification of Patients with Low Life Expectancy

Description: 

This project will use natural language processing and dynamic logic to create a high-fidelity model of risk of death to identify patients with low life expectancy.

Principal Investigator: 
Project Dates: 
August 1, 2015 to May 31, 2019

Improving Adherence and Outcomes by Artificial Intelligence-Adapted Text Messages

Description: 

This project tested a reinforcement learning (RL) text messaging system, which tailors and adapts messages to the needs of patients with uncontrolled hypertension to promote medication adherence, and found it to be feasible and adaptive.

Principal Investigator: 
Project Dates: 
April 1, 2014 to March 31, 2017