Practical Feature Selection for Lung Cancer Gene Detection

Min Wei Hsieh; Hayato Ohwada; Sheng-I Chen

doi:10.1145/3233547.3233631

Practical Feature Selection for Lung Cancer Gene Detection

Min Wei Hsieh
, Hayato Ohwada
, Sheng-I Chen

Department of Industrial Engineering and Management

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

Abstract

Lung cancer is the leading cause of cancer death in many countries. Interstitial lung disease (ILD), it is not cancer though, affects people more severely than many kinds of cancer. While ILD and lung cancer often occur concomitantly, the cause is still unclear. We intend to find the key factor that make patients suffer from both ILD and lung cancer instead of only lung cancer.

Original language	English
Title of host publication	ACM-BCB 2018 - Proceedings of the 2018 ACM International Conference on Bioinformatics, Computational Biology, and Health Informatics
Publisher	Association for Computing Machinery, Inc
Number of pages	1
ISBN (Electronic)	9781450357944
DOIs	https://doi.org/10.1145/3233547.3233631
State	Published - 15 Aug 2018
Event	9th ACM International Conference on Bioinformatics, Computational Biology, and Health Informatics, ACM-BCB 2018 - Washington, United States Duration: 29 Aug 2018 → 1 Sep 2018

Publication series

Name	ACM-BCB 2018 - Proceedings of the 2018 ACM International Conference on Bioinformatics, Computational Biology, and Health Informatics

Conference

Conference	9th ACM International Conference on Bioinformatics, Computational Biology, and Health Informatics, ACM-BCB 2018
Country/Territory	United States
City	Washington
Period	29/08/18 → 1/09/18

UN SDGs

This output contributes to the following UN Sustainable Development Goals (SDGs)

SDG 3 Good Health and Well-being

Keywords

Cancer
Data analytics
Gene
Machine learning

Access to Document

10.1145/3233547.3233631

Cite this

Hsieh, M. W., Ohwada, H., & Chen, S.-I. (2018). Practical Feature Selection for Lung Cancer Gene Detection. In ACM-BCB 2018 - Proceedings of the 2018 ACM International Conference on Bioinformatics, Computational Biology, and Health Informatics (ACM-BCB 2018 - Proceedings of the 2018 ACM International Conference on Bioinformatics, Computational Biology, and Health Informatics). Association for Computing Machinery, Inc. https://doi.org/10.1145/3233547.3233631

Hsieh, Min Wei ; Ohwada, Hayato ; Chen, Sheng-I. / Practical Feature Selection for Lung Cancer Gene Detection. ACM-BCB 2018 - Proceedings of the 2018 ACM International Conference on Bioinformatics, Computational Biology, and Health Informatics. Association for Computing Machinery, Inc, 2018. (ACM-BCB 2018 - Proceedings of the 2018 ACM International Conference on Bioinformatics, Computational Biology, and Health Informatics).

@inproceedings{34d9faade630401886a2d67b78454707,

title = "Practical Feature Selection for Lung Cancer Gene Detection",

abstract = "Lung cancer is the leading cause of cancer death in many countries. Interstitial lung disease (ILD), it is not cancer though, affects people more severely than many kinds of cancer. While ILD and lung cancer often occur concomitantly, the cause is still unclear. We intend to find the key factor that make patients suffer from both ILD and lung cancer instead of only lung cancer.",

keywords = "Cancer, Data analytics, Gene, Machine learning",

author = "Hsieh, \{Min Wei\} and Hayato Ohwada and Sheng-I Chen",

year = "2018",

month = aug,

day = "15",

doi = "10.1145/3233547.3233631",

language = "English",

series = "ACM-BCB 2018 - Proceedings of the 2018 ACM International Conference on Bioinformatics, Computational Biology, and Health Informatics",

publisher = "Association for Computing Machinery, Inc",

booktitle = "ACM-BCB 2018 - Proceedings of the 2018 ACM International Conference on Bioinformatics, Computational Biology, and Health Informatics",

note = "9th ACM International Conference on Bioinformatics, Computational Biology, and Health Informatics, ACM-BCB 2018 ; Conference date: 29-08-2018 Through 01-09-2018",

}

Hsieh, MW, Ohwada, H & Chen, S-I 2018, Practical Feature Selection for Lung Cancer Gene Detection. in ACM-BCB 2018 - Proceedings of the 2018 ACM International Conference on Bioinformatics, Computational Biology, and Health Informatics. ACM-BCB 2018 - Proceedings of the 2018 ACM International Conference on Bioinformatics, Computational Biology, and Health Informatics, Association for Computing Machinery, Inc, 9th ACM International Conference on Bioinformatics, Computational Biology, and Health Informatics, ACM-BCB 2018, Washington, United States, 29/08/18. https://doi.org/10.1145/3233547.3233631

Practical Feature Selection for Lung Cancer Gene Detection. / Hsieh, Min Wei; Ohwada, Hayato; Chen, Sheng-I.
ACM-BCB 2018 - Proceedings of the 2018 ACM International Conference on Bioinformatics, Computational Biology, and Health Informatics. Association for Computing Machinery, Inc, 2018. (ACM-BCB 2018 - Proceedings of the 2018 ACM International Conference on Bioinformatics, Computational Biology, and Health Informatics).

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

TY - GEN

T1 - Practical Feature Selection for Lung Cancer Gene Detection

AU - Hsieh, Min Wei

AU - Ohwada, Hayato

AU - Chen, Sheng-I

PY - 2018/8/15

Y1 - 2018/8/15

N2 - Lung cancer is the leading cause of cancer death in many countries. Interstitial lung disease (ILD), it is not cancer though, affects people more severely than many kinds of cancer. While ILD and lung cancer often occur concomitantly, the cause is still unclear. We intend to find the key factor that make patients suffer from both ILD and lung cancer instead of only lung cancer.

AB - Lung cancer is the leading cause of cancer death in many countries. Interstitial lung disease (ILD), it is not cancer though, affects people more severely than many kinds of cancer. While ILD and lung cancer often occur concomitantly, the cause is still unclear. We intend to find the key factor that make patients suffer from both ILD and lung cancer instead of only lung cancer.

KW - Cancer

KW - Data analytics

KW - Gene

KW - Machine learning

UR - https://www.scopus.com/pages/publications/85056110527

U2 - 10.1145/3233547.3233631

DO - 10.1145/3233547.3233631

M3 - Conference contribution

AN - SCOPUS:85056110527

T3 - ACM-BCB 2018 - Proceedings of the 2018 ACM International Conference on Bioinformatics, Computational Biology, and Health Informatics

BT - ACM-BCB 2018 - Proceedings of the 2018 ACM International Conference on Bioinformatics, Computational Biology, and Health Informatics

PB - Association for Computing Machinery, Inc

T2 - 9th ACM International Conference on Bioinformatics, Computational Biology, and Health Informatics, ACM-BCB 2018

Y2 - 29 August 2018 through 1 September 2018

ER -

Hsieh MW, Ohwada H, Chen SI. Practical Feature Selection for Lung Cancer Gene Detection. In ACM-BCB 2018 - Proceedings of the 2018 ACM International Conference on Bioinformatics, Computational Biology, and Health Informatics. Association for Computing Machinery, Inc. 2018. (ACM-BCB 2018 - Proceedings of the 2018 ACM International Conference on Bioinformatics, Computational Biology, and Health Informatics). doi: 10.1145/3233547.3233631

Practical Feature Selection for Lung Cancer Gene Detection

Abstract

Publication series

Conference

UN SDGs

Keywords

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