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Research

Interpretable Clustering witht he Distinguishability Criterion

Manuscript Link

Cluster validity index to determine the separation of inferred clusters, which can be readily incorporated with k-means, hierarchical, and mixture-model-based clustering algorithms.

Under review

Non-parametric Bayesian mixture model to study adverse events of COVID-19 vaccines

Manuscript Link

Bayesian logistic regression with Dirichlet process mixture priors for vaccine safety analysis, improving estimation of association with rare adverse events via data-guided information sharing.

Under review

Extending PICO with Observation Normalization for Evidence Computing

Manuscript Link
Presentation Link

Standard representation of findings in medical literature by significance and clinical direction, enabling evidence computing tasks.

Accepted to MedInfo 2021

A neuro-symbolic method for understanding free-text medical evidence

Manuscript Link

Medical evidence Dependency (MD)–informed attention, an extension of Multi-head self-attention that incorporates medical domain knowledge into a neural model.

Published in JAMIA