Abstract
Major challenges exist in identifying Long COVID patients from diagnosis texts recorded by general practitioners. A classification framework is proposed that can be used to identify Long COVID patients given these unstructured diagnostic texts. This framework can be leveraged to provide a general understanding of the risk factors, management strategies, and outcomes associated with Long COVID in Australia.
Author supplied keywords
Cite
CITATION STYLE
Kamalakkannan, A., Sezgin, G., Mcleod, A., Pearce, C., Georgiou, A., Prgomet, M., & Weeding, S. (2023). Classification of Long COVID from General Practitioner Diagnosis Text. In Studies in Health Technology and Informatics (Vol. 304, pp. 124–125). IOS Press BV. https://doi.org/10.3233/SHTI230387
Register to see more suggestions
Mendeley helps you to discover research relevant for your work.
