Residential mobility and lung cancer risk: Data-driven exploration using internet sources

Hong Jun Yoon; Georgia Tourassi; Songhua Xu

doi:10.1007/978-3-319-16268-3_60

Residential mobility and lung cancer risk: Data-driven exploration using internet sources

Hong Jun Yoon
, Georgia Tourassi
, Songhua Xu

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

3 Scopus citations

Abstract

Frequent relocation has been linked to health decline, particularly with respect to emotional and psychological wellbeing. In this paper we investigate whether there is an association between frequent relocation and lung cancer risk. For the initial investigation we used web crawling and tailored text mining to collect cancer and control subjects from online data sources. One data source includes online obituaries. The second data source includes augmented LinkedIn profiles. For each data source, the subjects’ spatiotemporal history is reconstructed from the available information provided in the obituaries and from the education and work experience provided in the LinkedIn profiles. The study shows that lung cancer subjects have higher mobility frequency than the control group. This trend is consistent for both data sources.

Original language	English
Title of host publication	Social Computing, Behavioral-Cultural Modeling, and Prediction - 8th International Conference, SBP 2015, Proceedings
Editors	Kevin Xu, Nitin Agarwal, Nathaniel Osgood
Publisher	Springer Verlag
Pages	464-469
Number of pages	6
ISBN (Electronic)	9783319162676
DOIs	https://doi.org/10.1007/978-3-319-16268-3_60
State	Published - 2015
Externally published	Yes
Event	8th International Conference on Social Computing, Behavioral-Cultural Modeling, and Prediction, SBP 2015 - Washington, United States Duration: 31 Mar 2015 → 3 Apr 2015

Publication series

Name	Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics)
Volume	9021
ISSN (Print)	0302-9743
ISSN (Electronic)	1611-3349

Conference

Conference	8th International Conference on Social Computing, Behavioral-Cultural Modeling, and Prediction, SBP 2015
Country/Territory	United States
City	Washington
Period	31/03/15 → 3/04/15

UN SDGs

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

SDG 3 Good Health and Well-being

Keywords

Health data informatics
Lung cancer
Residential mobility
Social media

Access to Document

10.1007/978-3-319-16268-3_60

Cite this

Yoon, H. J., Tourassi, G., & Xu, S. (2015). Residential mobility and lung cancer risk: Data-driven exploration using internet sources. In K. Xu, N. Agarwal, & N. Osgood (Eds.), Social Computing, Behavioral-Cultural Modeling, and Prediction - 8th International Conference, SBP 2015, Proceedings (pp. 464-469). (Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics); Vol. 9021). Springer Verlag. https://doi.org/10.1007/978-3-319-16268-3_60

Yoon, Hong Jun ; Tourassi, Georgia ; Xu, Songhua. / Residential mobility and lung cancer risk : Data-driven exploration using internet sources. Social Computing, Behavioral-Cultural Modeling, and Prediction - 8th International Conference, SBP 2015, Proceedings. editor / Kevin Xu ; Nitin Agarwal ; Nathaniel Osgood. Springer Verlag, 2015. pp. 464-469 (Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics)).

@inproceedings{b1c414581e7e4f1db66acd0ea27da5bf,

title = "Residential mobility and lung cancer risk: Data-driven exploration using internet sources",

abstract = "Frequent relocation has been linked to health decline, particularly with respect to emotional and psychological wellbeing. In this paper we investigate whether there is an association between frequent relocation and lung cancer risk. For the initial investigation we used web crawling and tailored text mining to collect cancer and control subjects from online data sources. One data source includes online obituaries. The second data source includes augmented LinkedIn profiles. For each data source, the subjects{\textquoteright} spatiotemporal history is reconstructed from the available information provided in the obituaries and from the education and work experience provided in the LinkedIn profiles. The study shows that lung cancer subjects have higher mobility frequency than the control group. This trend is consistent for both data sources.",

keywords = "Health data informatics, Lung cancer, Residential mobility, Social media",

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

note = "Publisher Copyright: {\textcopyright} Springer International Publishing Switzerland 2015.; 8th International Conference on Social Computing, Behavioral-Cultural Modeling, and Prediction, SBP 2015 ; Conference date: 31-03-2015 Through 03-04-2015",

year = "2015",

doi = "10.1007/978-3-319-16268-3\_60",

language = "英语",

series = "Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics)",

publisher = "Springer Verlag",

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editor = "Kevin Xu and Nitin Agarwal and Nathaniel Osgood",

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Yoon, HJ, Tourassi, G & Xu, S 2015, Residential mobility and lung cancer risk: Data-driven exploration using internet sources. in K Xu, N Agarwal & N Osgood (eds), Social Computing, Behavioral-Cultural Modeling, and Prediction - 8th International Conference, SBP 2015, Proceedings. Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics), vol. 9021, Springer Verlag, pp. 464-469, 8th International Conference on Social Computing, Behavioral-Cultural Modeling, and Prediction, SBP 2015, Washington, United States, 31/03/15. https://doi.org/10.1007/978-3-319-16268-3_60

Residential mobility and lung cancer risk: Data-driven exploration using internet sources. / Yoon, Hong Jun; Tourassi, Georgia; Xu, Songhua.
Social Computing, Behavioral-Cultural Modeling, and Prediction - 8th International Conference, SBP 2015, Proceedings. ed. / Kevin Xu; Nitin Agarwal; Nathaniel Osgood. Springer Verlag, 2015. p. 464-469 (Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics); Vol. 9021).

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

TY - GEN

T1 - Residential mobility and lung cancer risk

T2 - 8th International Conference on Social Computing, Behavioral-Cultural Modeling, and Prediction, SBP 2015

AU - Yoon, Hong Jun

AU - Tourassi, Georgia

AU - Xu, Songhua

N1 - Publisher Copyright: © Springer International Publishing Switzerland 2015.

PY - 2015

Y1 - 2015

N2 - Frequent relocation has been linked to health decline, particularly with respect to emotional and psychological wellbeing. In this paper we investigate whether there is an association between frequent relocation and lung cancer risk. For the initial investigation we used web crawling and tailored text mining to collect cancer and control subjects from online data sources. One data source includes online obituaries. The second data source includes augmented LinkedIn profiles. For each data source, the subjects’ spatiotemporal history is reconstructed from the available information provided in the obituaries and from the education and work experience provided in the LinkedIn profiles. The study shows that lung cancer subjects have higher mobility frequency than the control group. This trend is consistent for both data sources.

AB - Frequent relocation has been linked to health decline, particularly with respect to emotional and psychological wellbeing. In this paper we investigate whether there is an association between frequent relocation and lung cancer risk. For the initial investigation we used web crawling and tailored text mining to collect cancer and control subjects from online data sources. One data source includes online obituaries. The second data source includes augmented LinkedIn profiles. For each data source, the subjects’ spatiotemporal history is reconstructed from the available information provided in the obituaries and from the education and work experience provided in the LinkedIn profiles. The study shows that lung cancer subjects have higher mobility frequency than the control group. This trend is consistent for both data sources.

KW - Health data informatics

KW - Lung cancer

KW - Residential mobility

KW - Social media

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DO - 10.1007/978-3-319-16268-3_60

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AN - SCOPUS:84925337381

T3 - Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics)

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EP - 469

BT - Social Computing, Behavioral-Cultural Modeling, and Prediction - 8th International Conference, SBP 2015, Proceedings

A2 - Xu, Kevin

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A2 - Osgood, Nathaniel

PB - Springer Verlag

Y2 - 31 March 2015 through 3 April 2015

ER -

Yoon HJ, Tourassi G, Xu S. Residential mobility and lung cancer risk: Data-driven exploration using internet sources. In Xu K, Agarwal N, Osgood N, editors, Social Computing, Behavioral-Cultural Modeling, and Prediction - 8th International Conference, SBP 2015, Proceedings. Springer Verlag. 2015. p. 464-469. (Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics)). doi: 10.1007/978-3-319-16268-3_60

Residential mobility and lung cancer risk: Data-driven exploration using internet sources

Abstract

Publication series

Conference

UN SDGs

Keywords

Access to Document

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