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	Studies in Health Technology and Informatics
Publisher	IOS Press
Pages	1189
Number of pages	1
Volume	205
ISBN (Print)	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)	09269630
ISSN (Electronic)	18798365

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, CW , Usman, I & Li, YC 2014, Using Machine Learning to Predict the Smoking Cessation Success Plan in Taiwan. in Studies in Health Technology and Informatics. vol. 205, 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

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title = "Using Machine Learning to Predict the Smoking Cessation Success Plan in Taiwan",

keywords = "Artificial neural network, Machine learning, Prediction model, Smoking cessation",

author = "Huang, {Chih Wei} and Iqbal Usman and Li, {Yu Chuan}",

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AU - Huang, Chih Wei

AU - Usman, Iqbal

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KW - Artificial neural network

KW - Machine learning

KW - Prediction model

KW - Smoking cessation

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

M3 - Conference contribution

AN - SCOPUS:84952007718

SN - 9781614994312

VL - 205

T3 - Studies in Health Technology and Informatics

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BT - Studies in Health Technology and Informatics

PB - IOS Press

T2 - 25th European Medical Informatics Conference, MIE 2014

Y2 - 31 August 2014 through 3 September 2014

ER -

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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