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Article

Text Mining of the Electronic Health Record: An Information Extraction Approach for Automated Identification and Subphenotyping of HFpEF Patients for Clinical Trials.

Journal of cardiovascular translational research - 1 Jun 2017

Jonnalagadda Siddhartha R, Adupa Abhishek K, Garg Ravi P, Corona-Cox Jessica, Shah Sanjiv J

Abstract excerpt

Precision medicine requires clinical trials that are able to efficiently enroll subtypes of patients in whom targeted therapies can be tested. To reduce the large amount of time spent screening, identifying, and recruiting patients with specific subtypes of heterogeneous clinical syndromes (such as heart failure with preserved ejection fraction [HFpEF]), we need prescreening systems that are able to automate data...

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PMID: 28585184
DOI: 10.1007/s12265-017-9752-2

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PubMed metadata and Literature Corpus relationships. Corpus snapshot updated 7 Sept 2026. Manifest publication-graph-cohort-2026-09-07.1.

Source receipt: pubmed, retrieved 7 Sept 2026.

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