Enriching representation learning using 53 million patient notes through human phenotype ontology embedding-Reference-Cited by-同舟云学术

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

Published:2023-05 Issue: Volume:139 Page:102523
ISSN:0933-3657
Container-title:Artificial Intelligence in Medicine
language:en
Short-container-title:Artificial Intelligence in Medicine

Author:

Daniali Maryam,Galer Peter D.,Lewis-Smith David,Parthasarathy Shridhar,Kim Edward,Salvucci Dario D.,Miller Jeffrey M.,Haag Scott,Helbig Ingo

Publisher

Elsevier BV

Subject

Artificial Intelligence,Medicine (miscellaneous)

Reference74 articles.

1. Use of electronic health records in US hospitals;Jha;NEnglJMed,2009

2. Electronic health records: then, now, and in the future;Evans;Yearb Med Inform,2016

3. Medical analytics for healthcare intelligence–recent advances and future directions;Chen;Artif Intell Med,2021

4. Deep phenotyping: embracing complexity and temporality—towards scalability, portability, and interoperability;Weng;J Biomed Inform,2020

5. The Human Phenotype Ontology project: linking molecular biology and disease through phenotype data;Kohler;Nucleic Acids Res,2014

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