Article

A Data-driven Framework for Learning and Visualizing Characteristics of Thrombotic Event Phenotypes from Clinical Texts

2021-03-12

Abstract excerpt

Automatically identifying thrombotic phenotypes based on clinical data, particularly clinical texts, can be challenging. Although many investigators have developed targeted information extraction methods for identifying thrombotic phenotypes from radiology notes, these methods can be time consuming to train, require large amounts of training data, and may miss subtle textual clues predictive of a thrombotic phenot...

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Literature Corpus work: f4c73019-5c72-5cac-b537-2905593c6dc6
DOI: 10.1101/2021.03.09.21253233

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