10 citations · 12 across the 5 of their papers we have counts for
5 papers
NudgeRank: Digital Algorithmic Nudging for Personalized Health
Jodi Chiam, Aloysius Lim, Ankur Teredesai
In this paper we describe NudgeRank, an innovative digital algorithmic nudging system designed to foster positive health behaviors on a population-wide scale. Utilizing a novel com…
Co-Pilot for Health: Personalized Algorithmic AI Nudging to Improve Health Outcomes
Jodi Chiam, Aloysius Lim, Cheryl Nott +3
The ability to shape health behaviors of large populations automatically, across wearable types and disease conditions at scale has tremendous potential to improve global health ou…
Multi-Subset Approach to Early Sepsis Prediction
Kevin Ewig, Xiangwen Lin, Tucker Stewart +4
Sepsis is a life-threatening organ malfunction caused by the host's inability to fight infection, which can lead to death without proper and immediate treatment. Therefore, early d…
NPRL: Nightly Profile Representation Learning for Early Sepsis Onset Prediction in ICU Trauma Patients
Tucker Stewart, Katherine Stern, Grant O'Keefe +2
Sepsis is a syndrome that develops in the body in response to the presence of an infection. Characterized by severe organ dysfunction, sepsis is one of the leading causes of mortal…
Machine Learning Approaches for Type 2 Diabetes Prediction and Care Management
Aloysius Lim, Ashish Singh, Jody Chiam +4
Prediction of diabetes and its various complications has been studied in a number of settings, but a comprehensive overview of problem setting for diabetes prediction and care mana…