Using Machine Learning to Predict the Smoking Cessation Success Plan in Taiwan

Chih Wei Huang; Iqbal Usman; Yu Chuan Li

doi:10.3233/978-1-61499-432-9-1189

Using Machine Learning to Predict the Smoking Cessation Success Plan in Taiwan

Chih Wei Huang, Iqbal Usman, Yu Chuan Li

Research output: Chapter in Book/Report/Conference proceeding › Conference contribution

Original language	English
Title of host publication	e-Health - For Continuity of Care - Proceedings of MIE 2014
Editors	Louise Pape-Haugaard, Brigitte Seroussi Brigitte, Osman Saka, Christian Lovis, Arie Hasman, Stig Kjaer Andersen
Publisher	IOS Press
Pages	1189
Number of pages	1
ISBN (Electronic)	9781614994312
DOIs	https://doi.org/10.3233/978-1-61499-432-9-1189
Publication status	Published - 2014
Event	25th European Medical Informatics Conference, MIE 2014 - Istanbul, Turkey Duration: Aug 31 2014 → Sept 3 2014

Publication series

Name	Studies in Health Technology and Informatics
Volume	205
ISSN (Print)	0926-9630
ISSN (Electronic)	1879-8365

Other

Other	25th European Medical Informatics Conference, MIE 2014
Country/Territory	Turkey
City	Istanbul
Period	8/31/14 → 9/3/14

Keywords

Artificial neural network
Machine learning
Prediction model
Smoking cessation

ASJC Scopus subject areas

Biomedical Engineering
Health Informatics
Health Information Management

Access to Document

10.3233/978-1-61499-432-9-1189

Cite this

Huang, C. W., Usman, I., & Li, Y. C. (2014). Using Machine Learning to Predict the Smoking Cessation Success Plan in Taiwan. In L. Pape-Haugaard, B. Seroussi Brigitte, O. Saka, C. Lovis, A. Hasman, & S. K. Andersen (Eds.), e-Health - For Continuity of Care - Proceedings of MIE 2014 (pp. 1189). (Studies in Health Technology and Informatics; Vol. 205). IOS Press. https://doi.org/10.3233/978-1-61499-432-9-1189

Using Machine Learning to Predict the Smoking Cessation Success Plan in Taiwan. / Huang, Chih Wei; Usman, Iqbal; Li, Yu Chuan.
e-Health - For Continuity of Care - Proceedings of MIE 2014. ed. / Louise Pape-Haugaard; Brigitte Seroussi Brigitte; Osman Saka; Christian Lovis; Arie Hasman; Stig Kjaer Andersen. IOS Press, 2014. p. 1189 (Studies in Health Technology and Informatics; Vol. 205).

Research output: Chapter in Book/Report/Conference proceeding › Conference contribution

Huang, CW, Usman, I & Li, YC 2014, Using Machine Learning to Predict the Smoking Cessation Success Plan in Taiwan. in L Pape-Haugaard, B Seroussi Brigitte, O Saka, C Lovis, A Hasman & SK Andersen (eds), e-Health - For Continuity of Care - Proceedings of MIE 2014. Studies in Health Technology and Informatics, vol. 205, IOS Press, pp. 1189, 25th European Medical Informatics Conference, MIE 2014, Istanbul, Turkey, 8/31/14. https://doi.org/10.3233/978-1-61499-432-9-1189

Huang, Chih Wei ; Usman, Iqbal ; Li, Yu Chuan. / Using Machine Learning to Predict the Smoking Cessation Success Plan in Taiwan. e-Health - For Continuity of Care - Proceedings of MIE 2014. editor / Louise Pape-Haugaard ; Brigitte Seroussi Brigitte ; Osman Saka ; Christian Lovis ; Arie Hasman ; Stig Kjaer Andersen. IOS Press, 2014. pp. 1189 (Studies in Health Technology and Informatics).

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Using Machine Learning to Predict the Smoking Cessation Success Plan in Taiwan

Publication series

Other

Keywords

ASJC Scopus subject areas

Access to Document

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