Biomedical text as data: with applications to osteoarthritis phenotype identification using EMR data

Please join us …

When: Tuesday, May 22, 2018, 12–1 p.m.

Where: ICES, G-Wing, Conference Centre (Sunnybrook Health Sciences Centre)

Who: Christopher Meaney, MSc, Phd (c), PhD Student (Year 3); Department of Biostatistics, University of Toronto.

Topic: Biomedical text as data: with applications to osteoarthritis phenotype identification using EMR data

Learning objectives

1. Describe/summarize biomedical text data that exists at ICES/EMRALD.
2. Introduce basic concepts and mathematical structures from natural language processing (NLP).
3. Introduce unsupervised models for learning low dimensional representations of biomedical text data.
4. Demonstrate applicability of learned representations on an extrinsic supervised phenotype identification task.

Christopher Meaney