CDM Colloquium: Dr. Dimitriy Dligach - Automatic Phenotyping in the Age of Deep Learning
Friday September 24th 2021 1 – 2 PM
Speaker: Dr. Dimitriy Dligach, Associate Professor of Computer Science, Loyola University
Title: Automatic Phenotyping in the Age of Deep Learning
Abstract: It is often estimated that 80% of clinical data today is stored in an unstructured form, mostly as electronic health records (EHR). Within this corpus of text lies a vast amount of valuable information that can be leveraged for phenotyping, pharmacogenomic studies, and clinical decision support, ultimately improving patient care and reducing healthcare costs. Until fairly recently, automatic phenotyping (patient cohort identification) had been conducted using feature-based approaches in combination with linear classifiers. Deep learning revolutionized clinical informatics, but obtaining large datasets to take advantage of highly expressive neural network models is difficult and expensive. In this talk, I will argue that amenability to pretraining is a key benefit of deep learning for healthcare. I will then outline my contributions related to pretraining phenotyping classifiers using various sources of freely available supervision. If the time permits, I will briefly review several other projects involving substance misuse classification and information extraction from medical records.
Bio: The overarching goal of Dr. Dligach’s research is developing methods for automatic semantic analysis of texts. His work spans such areas of computer science as natural language processing, machine learning, and data mining. Most recently his research has focused on semantic analysis of clinical texts. He works both on method development and applications. Prior to to joining Loyola, Dr. Dligach was a researcher at Boston Children’s Hospital and Harvard Medical School. Dr. Dligach received his PhD in computer science from the University of Colorado Boulder, his MS in computer science from the State University of New York at Buffalo, and his BS in computer science from Loyola University Chicago.
Dr. Dligach Lab