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PhenoXtract: combining Large Language Model and Knowledge Graph embedding to extract phenotypes from clinical descriptions

2026-06-26

Abstract excerpt

<h4>Motivation</h4> Standardized phenotypic descriptions are essential for accurate diagnosis, yet clinicians and researchers face challenges in manually extracting and mapping phenotypes from scientific literature or patient clinical records to the Human Phenotype Ontology. Recent advances in deep learning offer new opportunities for automation. We developed PhenoXtract, a novel phenotype extraction approach tha...

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Literature Corpus work
44214b47-ebb3-5977-b2cd-b38c36b99192
DOI
10.64898/2026.06.22.733382
Open publication

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PhenoXtract: combining Large Language Model and Knowledge Graph embedding to extract phenotypes from clinical descriptionsDOI 10.64898/2026.06.22.733382
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