192: PREDICTION OF ASTHMA CONTROL LEVELS USING DATA MINING METHODS: AN EVIDENCE-BASED APPROACH

BACKGROUND AND AIMS: Asthma is a chronic lung disease and has a raising worldwide prevalence. Lack of timely and appropriate control for this condition leads to financial and physical injuries. The aim of this study is to prediction of asthma control levels by applying data mining algorithms. METHOD...

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Detalles Bibliográficos
Autores principales: Rezaei-Hachesu, Peyman, Samad-Soltani, Taha, Khara, Ruhollah, Gheibi, Mehdi, Moftian, Nazila
Formato: Online Artículo Texto
Lenguaje:English
Publicado: BMJ Publishing Group 2017
Materias:
Abstracts from the 5th International Society for Evidence-Based Healthcare Congress, Kish Island, Ira
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC5759634/
http://dx.doi.org/10.1136/bmjopen-2016-015415.192

Internet

https://www.ncbi.nlm.nih.gov/pmc/articles/PMC5759634/
http://dx.doi.org/10.1136/bmjopen-2016-015415.192

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