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

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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Bibliographic Details
Main Authors: Ali Hussain, Hee-Eun Choi, Hyo-Jung Kim, Satyabrata Aich, Muhammad Saqlain, Hee-Cheol Kim
Format: Article
Language:English
Published: MDPI AG 2021-05-01
Series:Diagnostics
Subjects:
chronic obstructive pulmonary disease (COPD)
machine learning
features set
disease severity
prediction models
Online Access:https://www.mdpi.com/2075-4418/11/5/829

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https://www.mdpi.com/2075-4418/11/5/829

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