原文英語
主出版物標題Studies in Health Technology and Informatics
發行者IOS Press
頁面1189
頁數1
205
ISBN(列印)9781614994312
DOIs
出版狀態已發佈 - 2014
事件25th European Medical Informatics Conference, MIE 2014 - Istanbul, 土耳其
持續時間: 八月 31 2014九月 3 2014

出版系列

名字Studies in Health Technology and Informatics
205
ISSN(列印)09269630
ISSN(電子)18798365

其他

其他25th European Medical Informatics Conference, MIE 2014
國家土耳其
城市Istanbul
期間8/31/149/3/14

指紋

Smoking Cessation
Taiwan
Learning systems
Neural networks
Machine Learning

ASJC Scopus subject areas

  • Biomedical Engineering
  • Health Informatics
  • Health Information Management

引用此文

Huang, C. W., Usman, I., & Li, Y. C. (2014). Using Machine Learning to Predict the Smoking Cessation Success Plan in Taiwan. 於 Studies in Health Technology and Informatics (卷 205, 頁 1189). (Studies in Health Technology and Informatics; 卷 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.

Studies in Health Technology and Informatics. 卷 205 IOS Press, 2014. p. 1189 (Studies in Health Technology and Informatics; 卷 205).

研究成果: 書貢獻/報告類型會議貢獻

Huang, CW, Usman, I & Li, YC 2014, Using Machine Learning to Predict the Smoking Cessation Success Plan in Taiwan. 於 Studies in Health Technology and Informatics. 卷 205, Studies in Health Technology and Informatics, 卷 205, IOS Press, 頁 1189, 25th European Medical Informatics Conference, MIE 2014, Istanbul, 土耳其, 8/31/14. https://doi.org/10.3233/978-1-61499-432-9-1189
Huang CW, Usman I, Li YC. Using Machine Learning to Predict the Smoking Cessation Success Plan in Taiwan. 於 Studies in Health Technology and Informatics. 卷 205. IOS Press. 2014. p. 1189. (Studies in Health Technology and Informatics). 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. Studies in Health Technology and Informatics. 卷 205 IOS Press, 2014. 頁 1189 (Studies in Health Technology and Informatics).
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