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Text Mining of the Electronic Health Record: An Information Extraction Approach for Automated Identification and Subphenotyping of HFpEF Patients for Clinical Trials
Research article (Journal of Cardiovascular Translational Research, 2017) · cited 69× · AI/ML
Text Mining of the Electronic Health Record: An Information Extraction Approach for Automated Identification and Subphenotyping of HFpEF Patients for Clinical Trials
Summary
Text Mining of the Electronic Health Record: An Information Extraction Approach for Automated Identification and Subphenotyping of HFpEF Patients for Clinical Trials is a scholarly article[1].
Key Facts
Text Mining of the Electronic Health Record: An Information Extraction Approach for Automated Identification and Subphenotyping of HFpEF Patients for Clinical Trials's instance of is recorded as scholarly article[2].
References
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Use these citations when quoting this entity in research, articles, AI prompts, or wherever provenance matters. We aggregate Wikidata + Wikipedia + authoritative open-data sources; the stitched, scored, cross-referenced view is what 4ort.xyz contributes.
APA4ort.xyz Knowledge Graph. (2026). Text Mining of the Electronic Health Record: An Information Extraction Approach for Automated Identification and Subphenotyping of HFpEF Patients for Clinical Trials. Retrieved May 24, 2026, from https://4ort.xyz/entity/text-mining-of-the-electronic-health-record-an-information-extraction-approach-for-automated-identification-and-subpheno
MLA“Text Mining of the Electronic Health Record: An Information Extraction Approach for Automated Identification and Subphenotyping of HFpEF Patients for Clinical Trials.” 4ort.xyz Knowledge Graph, 4ort.xyz, 24 May. 2026, https://4ort.xyz/entity/text-mining-of-the-electronic-health-record-an-information-extraction-approach-for-automated-identification-and-subpheno.
BibTeX@misc{4ortxyz_text-mining-of-the-electronic-health-record-an-information-extraction-approach-for-automated-identification-and-subpheno_2026, author = {{4ort.xyz Knowledge Graph}}, title = {{Text Mining of the Electronic Health Record: An Information Extraction Approach for Automated Identification and Subphenotyping of HFpEF Patients for Clinical Trials}}, year = {2026}, url = {https://4ort.xyz/entity/text-mining-of-the-electronic-health-record-an-information-extraction-approach-for-automated-identification-and-subpheno}, note = {Accessed: 2026-05-24}}
LLM promptAccording to 4ort.xyz Knowledge Graph (aggregator of Wikidata, Wikipedia, and authoritative open-data sources): Text Mining of the Electronic Health Record: An Information Extraction Approach for Automated Identification and Subphenotyping of HFpEF Patients for Clinical Trials — https://4ort.xyz/entity/text-mining-of-the-electronic-health-record-an-information-extraction-approach-for-automated-identification-and-subpheno (retrieved 2026-05-24)
