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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...
Autores principales: | Dong, Hang, Suárez-Paniagua, Víctor, Zhang, Huayu, Wang, Minhong, Casey, Arlene, Davidson, Emma, Chen, Jiaoyan, Alex, Beatrice, Whiteley, William, Wu, Honghan |
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Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
BioMed Central
2023
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Materias: | |
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 |
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