Forecast the Exacerbation in Patients of Chronic Obstructive Pulmonary Disease with Clinical Indicators Using Machine Learning Techniques

Preventing exacerbation and seeking to determine the severity of the disease during the hospitalization of chronic obstructive pulmonary disease (COPD) patients is a crucial global initiative for chronic obstructive lung disease (GOLD); this option is available only for stable-phase patients. Recent...

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Detalles Bibliográficos
Autores principales: Hussain, Ali, Choi, Hee-Eun, Kim, Hyo-Jung, Aich, Satyabrata, Saqlain, Muhammad, Kim, Hee-Cheol
Formato: Online Artículo Texto
Lenguaje:English
Publicado: MDPI 2021
Materias:
Article
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8147791/
https://www.ncbi.nlm.nih.gov/pubmed/34064395
http://dx.doi.org/10.3390/diagnostics11050829

Internet

https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8147791/
https://www.ncbi.nlm.nih.gov/pubmed/34064395
http://dx.doi.org/10.3390/diagnostics11050829

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