A Comparative Analysis of Machine Learning Methods for Class Imbalance in a Smoking Cessation Intervention

A Comparative Analysis of Machine Learning Methods for Class Imbalance in a Smoking Cessation Intervention

Smoking is one of the major public health issues, which has a significant impact on premature death. In recent years, numerous decision support systems have been developed to deal with smoking cessation based on machine learning methods. However, the inevitable class imbalance is considered a major...

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Bibliographic Details
Main Authors: Khishigsuren Davagdorj, Jong Seol Lee, Van Huy Pham, Keun Ho Ryu
Format: Article
Language:English
Published: MDPI AG 2020-05-01
Series:Applied Sciences
Subjects:
smoking
class imbalance
synthetic oversampling
machine learning
decision making
feature importance
Online Access:https://www.mdpi.com/2076-3417/10/9/3307

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https://www.mdpi.com/2076-3417/10/9/3307

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