Towards building a reasoning agent for electrocardiogram
Edward Choi
Abstract
Electrocardiograms (ECG) are one of the most often studied clinical signals by the AI community due to their frequent usage in hospitals as well as data availability on the web. In this talk, we introduce how we tried/try to contribute to this effort in three different dimensions, namely representation learning, question answering, and a reasoning agent, and share what we have learned along the way.
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