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Title: Residential Mobility and Lung Cancer Risk: Data-Driven Exploration Using Internet Sources

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 leverage two online data sources to collect cancer and control subjects using web crawling and tailored text mining. The two data sources share different strengths and weaknesses in terms of the amount of detail, population representation, and sample size. 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.
 [1] ;  [1] ;  [2]
  1. ORNL
  2. New Jersey Insitute of Technology
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Conference: 2015 International Conference on Social Computing, Behavioral-Cultural Modeling, & Prediction, Washington DC, DC, USA, 20150331, 20150403
Research Org:
Oak Ridge National Laboratory (ORNL)
Sponsoring Org:
ORNL work for others
Country of Publication:
United States