Investigating the association between sociodemographic factors and lung cancer risk using cyber informatics

Hong Jun Yoon; Georgia Tourassi

doi:10.1109/BHI.2016.7455958

Investigating the association between sociodemographic factors and lung cancer risk using cyber informatics

Hong Jun Yoon, Georgia Tourassi

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

1 Scopus citations

Abstract

Openly available online sources can be very valuable for executing in silico case-control epidemiological studies. Adjustment of confounding factors to isolate the association between an observing factor and disease is essential for such studies. However, such information is not always readily available online. This paper suggests natural language processing methods for extracting socio-demographic information from content openly available online. Feasibility of the suggested method is demonstrated by performing a case-control study focusing on the association between age, gender, and income level and lung cancer risk. The study shows stronger association between older age and lower socioeconomic status and higher lung cancer risk, which is consistent with the findings reported in traditional cancer epidemiology studies.

Original language	English
Title of host publication	3rd IEEE EMBS International Conference on Biomedical and Health Informatics, BHI 2016
Publisher	Institute of Electrical and Electronics Engineers Inc.
Pages	557-560
Number of pages	4
ISBN (Electronic)	9781509024551
DOIs	https://doi.org/10.1109/BHI.2016.7455958
State	Published - Apr 18 2016
Event	3rd IEEE EMBS International Conference on Biomedical and Health Informatics, BHI 2016 - Las Vegas, United States Duration: Feb 24 2016 → Feb 27 2016

Publication series

Name	3rd IEEE EMBS International Conference on Biomedical and Health Informatics, BHI 2016

Conference

Conference	3rd IEEE EMBS International Conference on Biomedical and Health Informatics, BHI 2016
Country/Territory	United States
City	Las Vegas
Period	02/24/16 → 02/27/16

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

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10.1109/BHI.2016.7455958

Cite this

Yoon, H. J., & Tourassi, G. (2016). Investigating the association between sociodemographic factors and lung cancer risk using cyber informatics. In 3rd IEEE EMBS International Conference on Biomedical and Health Informatics, BHI 2016 (pp. 557-560). Article 7455958 (3rd IEEE EMBS International Conference on Biomedical and Health Informatics, BHI 2016). Institute of Electrical and Electronics Engineers Inc.. https://doi.org/10.1109/BHI.2016.7455958

Yoon, Hong Jun ; Tourassi, Georgia. / Investigating the association between sociodemographic factors and lung cancer risk using cyber informatics. 3rd IEEE EMBS International Conference on Biomedical and Health Informatics, BHI 2016. Institute of Electrical and Electronics Engineers Inc., 2016. pp. 557-560 (3rd IEEE EMBS International Conference on Biomedical and Health Informatics, BHI 2016).

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title = "Investigating the association between sociodemographic factors and lung cancer risk using cyber informatics",

abstract = "Openly available online sources can be very valuable for executing in silico case-control epidemiological studies. Adjustment of confounding factors to isolate the association between an observing factor and disease is essential for such studies. However, such information is not always readily available online. This paper suggests natural language processing methods for extracting socio-demographic information from content openly available online. Feasibility of the suggested method is demonstrated by performing a case-control study focusing on the association between age, gender, and income level and lung cancer risk. The study shows stronger association between older age and lower socioeconomic status and higher lung cancer risk, which is consistent with the findings reported in traditional cancer epidemiology studies.",

author = "Yoon, {Hong Jun} and Georgia Tourassi",

note = "Publisher Copyright: {\textcopyright} 2016 IEEE.; 3rd IEEE EMBS International Conference on Biomedical and Health Informatics, BHI 2016 ; Conference date: 24-02-2016 Through 27-02-2016",

year = "2016",

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doi = "10.1109/BHI.2016.7455958",

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series = "3rd IEEE EMBS International Conference on Biomedical and Health Informatics, BHI 2016",

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Yoon, HJ & Tourassi, G 2016, Investigating the association between sociodemographic factors and lung cancer risk using cyber informatics. in 3rd IEEE EMBS International Conference on Biomedical and Health Informatics, BHI 2016., 7455958, 3rd IEEE EMBS International Conference on Biomedical and Health Informatics, BHI 2016, Institute of Electrical and Electronics Engineers Inc., pp. 557-560, 3rd IEEE EMBS International Conference on Biomedical and Health Informatics, BHI 2016, Las Vegas, United States, 02/24/16. https://doi.org/10.1109/BHI.2016.7455958

Investigating the association between sociodemographic factors and lung cancer risk using cyber informatics. / Yoon, Hong Jun ; Tourassi, Georgia.
3rd IEEE EMBS International Conference on Biomedical and Health Informatics, BHI 2016. Institute of Electrical and Electronics Engineers Inc., 2016. p. 557-560 7455958 (3rd IEEE EMBS International Conference on Biomedical and Health Informatics, BHI 2016).

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

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N2 - Openly available online sources can be very valuable for executing in silico case-control epidemiological studies. Adjustment of confounding factors to isolate the association between an observing factor and disease is essential for such studies. However, such information is not always readily available online. This paper suggests natural language processing methods for extracting socio-demographic information from content openly available online. Feasibility of the suggested method is demonstrated by performing a case-control study focusing on the association between age, gender, and income level and lung cancer risk. The study shows stronger association between older age and lower socioeconomic status and higher lung cancer risk, which is consistent with the findings reported in traditional cancer epidemiology studies.

AB - Openly available online sources can be very valuable for executing in silico case-control epidemiological studies. Adjustment of confounding factors to isolate the association between an observing factor and disease is essential for such studies. However, such information is not always readily available online. This paper suggests natural language processing methods for extracting socio-demographic information from content openly available online. Feasibility of the suggested method is demonstrated by performing a case-control study focusing on the association between age, gender, and income level and lung cancer risk. The study shows stronger association between older age and lower socioeconomic status and higher lung cancer risk, which is consistent with the findings reported in traditional cancer epidemiology studies.

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M3 - Conference contribution

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BT - 3rd IEEE EMBS International Conference on Biomedical and Health Informatics, BHI 2016

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Yoon HJ , Tourassi G. Investigating the association between sociodemographic factors and lung cancer risk using cyber informatics. In 3rd IEEE EMBS International Conference on Biomedical and Health Informatics, BHI 2016. Institute of Electrical and Electronics Engineers Inc. 2016. p. 557-560. 7455958. (3rd IEEE EMBS International Conference on Biomedical and Health Informatics, BHI 2016). doi: 10.1109/BHI.2016.7455958

Investigating the association between sociodemographic factors and lung cancer risk using cyber informatics

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