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

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. METHODS: We p...

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Detalles Bibliográficos
Autores principales: Dong, Hang, Suárez-Paniagua, Víctor, Zhang, Huayu, Wang, Minhong, Casey, Arlene, Davidson, Emma, Chen, Jiaoyan, Alex, Beatrice, Whiteley, William, Wu, Honghan
Formato: Online Artículo Texto
Lenguaje:English
Publicado: BioMed Central 2023
Materias:
Research
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC10162001/
https://www.ncbi.nlm.nih.gov/pubmed/37147628
http://dx.doi.org/10.1186/s12911-023-02181-9

Internet

https://www.ncbi.nlm.nih.gov/pmc/articles/PMC10162001/
https://www.ncbi.nlm.nih.gov/pubmed/37147628
http://dx.doi.org/10.1186/s12911-023-02181-9

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