Application of unsupervised deep learning algorithms for identification of specific clusters of chronic cough patients from EMR data

BACKGROUND: Chronic cough affects approximately 10% of adults. The lack of ICD codes for chronic cough makes it challenging to apply supervised learning methods to predict the characteristics of chronic cough patients, thereby requiring the identification of chronic cough patients by other mechanism...

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Detalles Bibliográficos
Autores principales: Shao, Wei, Luo, Xiao, Zhang, Zuoyi, Han, Zhi, Chandrasekaran, Vasu, Turzhitsky, Vladimir, Bali, Vishal, Roberts, Anna R., Metzger, Megan, Baker, Jarod, La Rosa, Carmen, Weaver, Jessica, Dexter, Paul, Huang, Kun
Formato: Online Artículo Texto
Lenguaje:English
Publicado: BioMed Central 2022
Materias:
Research
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9019947/
https://www.ncbi.nlm.nih.gov/pubmed/35439945
http://dx.doi.org/10.1186/s12859-022-04680-4

Internet

https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9019947/
https://www.ncbi.nlm.nih.gov/pubmed/35439945
http://dx.doi.org/10.1186/s12859-022-04680-4

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