Program Schedule

S28: Oral Presentations - Turing University: AI and Machine Learning

Speaker(s):

Session Chair: Sarah Rossetti, Columbia University Department of Biomedical Informatics Speaker: Austin Antoniou, Ph.D., Nationwide Children's Hospital Speaker: Chao Yan, Department of Biomedical Informatics, Vanderbilt University Medical Center Speaker: Conor Corbin, Stanford University Speaker: Jejo Koola, University of California, San Diego Speaker: Kevin Lybarger, University of Washington

A Corpus of Radiology Reports From Multiple Imaging Modalities With Fine-grained Event-based Annotations Speaker: Kevin Lybarger, University of Washington

A Machine Learning Classifier to Prioritize Exome Reanalysis and Improve Rates of Rare Disease Diagnosis Speaker: Austin Antoniou, Ph.D., Nationwide Children's Hospital

Assessing Machine Learning Based Generators for Synthetic Electronic Health Records: A Benchmarking Speaker: Chao Yan, Department of Biomedical Informatics, Vanderbilt University Medical Center

A Framework for Detecting Medical Device Safety Signals Confounded by Learning Effects Using Machine Learning Speaker: Jejo Koola, University of California, San Diego

How to Avoid Incorrect Clinical Machine Learning Model Performance Estimates When Class Labels Are Only Partially Observed Speaker: Conor Corbin, Stanford University