AIML

Patient Representation

Develop and test patient and disease representations for clinical models. Jointly learning embedding for different domains and further fine tuning or enhancing embeddings for some …

Objective Pain Metric

This work is focused on identifying correlates of individual pain, defining objective pain metrics, and determining changes to the device parameters that provide the user with the …

Computational Models for Type 1 Diabetes (T1D)

Develop novel computational disease models that could be used to identify factors that impact the rapid/slow progression of Type 1 Diabetes (“T1D”) in infants and young children …

Structured Regression in Complex Networks by Fusion of Qualitative Knowledge and Big Data

Integrating context, domain knowledge, and data-driven modeling of complex phenomena based on observations that are highly structured and interdependent is a very challenging task. …

Prospective Analysis of Large and Complex Partially Observed Temporal Social Networks

The analysis of social networks often assumes a time invariant scenario, while in practice actor attributes and links in such networks evolve over time and are inextricably …

Predictive Modeling of Patient State and Therapy Optimization

This project develops and validates effective predictive modeling technology to achieve the following sepsis treatment related aims on high dimensional and noisy data at a …