Loading Events
  • This event has passed.

Quantitative Issues in Cancer Research Working Group Seminar

April 17 @ 4:00 pm - 5:00 pm

In Person

Kimberly Greco, PhD Student, Department of Biostatistics, Harvard T.H. Chan School of Public Health

Graph Attention Framework to Enhance Rare Disease Sub-Phenotyping from EHR

Abstract: Accurately sub-phenotyping patients according to their risk for an adverse clinical outcome can significantly enhance clinical decision-making. Recent advances in patient representation learning have enabled the development of sophisticated clustering algorithms designed to accurately sub-phenotype patients in ways that are predictive of these outcomes. To optimize data for clustering, we introduce a methodology utilizing a Graph Attention Network (GAT) to enhance Electronic Health Record (EHR) code-level embeddings. This approach facilitates the generation of rich patient-level embeddings, which are then leveraged in downstream clustering tasks aimed at sub-phenotyping patients based on their risk of experiencing a particular outcome. Building on this foundation, we explore ongoing work focused on advancing personalized medicine for patients with rare diseases.


Date: April 17
Time: 4:00 pm - 5:00 pm
Calendars: Lecture / Seminar
Event types: cancer, Cancer Working Group, Lecture/Seminar


In Person