Clinical Text Data Categorization and Feature Extraction Using Medical-Fissure Algorithm and Neg-Seq Algorithm

A large amount of patient information has been gathered in Electronic Health Records (EHRs) concerning their conditions. An EHR, as an unstructured text document, serves to maintain health by identifying, treating, and curing illnesses. In this research, the technical complexities in extracting the...

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Detalles Bibliográficos
Autores principales: Pagad, Naveen S, N, Pradeep, Almuzaini, Khalid K., Maheshwari, Manish, Gangodkar, Durgaprasad, Shukla, Piyush, Alhassan, Musah
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Hindawi 2022
Materias:
Research Article
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8920702/
https://www.ncbi.nlm.nih.gov/pubmed/35295284
http://dx.doi.org/10.1155/2022/5759521

Internet

https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8920702/
https://www.ncbi.nlm.nih.gov/pubmed/35295284
http://dx.doi.org/10.1155/2022/5759521

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