Abstract 17565: High-Throughput Analysis of Full-Text Cardiac Catheterization Reports Using Open-Source Natural Language Processing and Machine Learning Tools

Michael Levin,Aeron Small,Jay Giri,Daniel J. Rader,Scott M. Damrauer

Circulation（2017）

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摘要

Introduction: Cardiac catheterization reports are rich sources of clinical data, but their unstructured format makes large-scale analysis time- and effort-intensive. Natural Language Processing (NL...

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machine learning tools,catheterization,high-throughput,full-text,open-source

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