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Topic Models, Methods, and Medicine
Mathematics of Data & Decisions| Speaker: | Jamie Haddock, Harvey Mudd College |
| Location: | zoom |
| Start time: | Tue, Feb 15 2022, 1:10PM |
Description
There is currently an
unprecedented demand for efficient, quantitative, and interpretable
methods to study large-scale (often multi-modal) data. One key area of
interest is that of topic modeling, which seeks to automatically learn
latent trends or topics of complex data sets, providing practitioners a
view of what is “going on” inside their data. This talk will survey
several new tools for topic modeling on matrix and tensor data which
allow for use of various forms of supervision and which learn
hierarchical structure amongst topics. These tools are of interest
across the many fields and industries producing, capturing, and
analyzing big data, but are of particular interest in applications where
expert supervision is available and often essential (e.g., medicine).
We will describe two applications of these methods to medical data; an
application to a large-scale patient survey database and an ongoing
application to cardiovascular imaging data.
https://ucdavis.zoom.us/j/92696386057?pwd=V3hrODBH...
