Ontology-driven and weakly supervised rare disease identification from clinical notes

Ontology-driven and weakly supervised rare disease identification from clinical notes

Abstract Background Computational text phenotyping is the practice of identifying patients with certain disorders and traits from clinical notes. Rare diseases are challenging to be identified due to few cases available for machine learning and the need for data annotation from domain experts. Metho...

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Bibliographic Details
Main Authors: Hang Dong, Víctor Suárez-Paniagua, Huayu Zhang, Minhong Wang, Arlene Casey, Emma Davidson, Jiaoyan Chen, Beatrice Alex, William Whiteley, Honghan Wu
Format: Article
Language:English
Published: BMC 2023-05-01
Series:BMC Medical Informatics and Decision Making
Subjects:
Clinical notes
Natural language processing
Ontology matching
Phenotyping
Rare diseases
Weak supervision
Online Access:https://doi.org/10.1186/s12911-023-02181-9

Internet

https://doi.org/10.1186/s12911-023-02181-9

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