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

• Published in: Applied sciences Vol. 10; no. 9; p. 3307
• Main Authors: Davagdorj, Khishigsuren, Lee, Jong Seol, Pham, Van Huy, Ryu, Keun Ho
• Format: Journal Article
• Language: English
• Published: Basel MDPI AG 01.05.2020
• Subjects: class imbalance; Comparative analysis; Counseling; Datasets; Decision making; Decision support systems; feature importance; Intervention; Literature reviews; Machine learning; Nicotine; Quality of life; Researchers; smoking; Smoking cessation; Statistical methods; Studies; Success; Support vector machines; synthetic oversampling; Technology application; Tobacco; Womens health; South Korea

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...