Enriching representation learning using 53 million patient notes through human phenotype ontology embedding

Research article (Artificial Intelligence in Medicine, 2023) · cited 24× · AI/ML
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Enriching representation learning using 53 million patient notes through human phenotype ontology embedding is a scholarly article[1].

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APA 4ort.xyz Knowledge Graph. (2026). Enriching representation learning using 53 million patient notes through human phenotype ontology embedding. Retrieved October 20, 2026, from https://4ort.xyz/entity/enriching-representation-learning-using-53-million-patient-notes-through-human-phenotype-ontology-embedding
MLA “Enriching representation learning using 53 million patient notes through human phenotype ontology embedding.” 4ort.xyz Knowledge Graph, 4ort.xyz, 20 Oct. 2026, https://4ort.xyz/entity/enriching-representation-learning-using-53-million-patient-notes-through-human-phenotype-ontology-embedding.
BibTeX @misc{4ortxyz_enriching-representation-learning-using-53-million-patient-notes-through-human-phenotype-ontology-embedding_2026, author = {{4ort.xyz Knowledge Graph}}, title = {{Enriching representation learning using 53 million patient notes through human phenotype ontology embedding}}, year = {2026}, url = {https://4ort.xyz/entity/enriching-representation-learning-using-53-million-patient-notes-through-human-phenotype-ontology-embedding}, note = {Accessed: 2026-10-20}}
LLM prompt According to 4ort.xyz Knowledge Graph (aggregator of Wikidata, Wikipedia, and authoritative open-data sources): Enriching representation learning using 53 million patient notes through human phenotype ontology embedding — https://4ort.xyz/entity/enriching-representation-learning-using-53-million-patient-notes-through-human-phenotype-ontology-embedding (retrieved 2026-10-20)

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