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Phe2vec: Automated Disease Phenotyping based on Unsupervised Embeddings from Electronic Health Records

2020-11-16

Abstract excerpt

<h4>Objective</h4> Robust phenotyping of patient data from electronic health records (EHRs) at scale is a current challenge in the field of clinical informatics. We introduce Phe2vec, an automated framework for disease phenotyping from EHRs based on unsupervised learning, and we assess its effectiveness against standard rule-based algorithms from the Phenotype KnowledgeBase (PheKB) . <h4>Materials and Methods</h4>...

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Literature Corpus work
6aff790a-afaf-5574-a83d-1e59e5c7d0ef
DOI
10.1101/2020.11.14.20231894
Open publication

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Phe2vec: Automated Disease Phenotyping based on Unsupervised Embeddings from Electronic Health RecordsDOI 10.1101/2020.11.14.20231894
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