Chapter title |
Residential Mobility and Lung Cancer Risk: Data-Driven Exploration Using Internet Sources
|
---|---|
Chapter number | 60 |
Book title |
Social Computing, Behavioral-Cultural Modeling, and Prediction
|
Published in |
Lecture notes in computer science, March 2015
|
DOI | 10.1007/978-3-319-16268-3_60 |
Pubmed ID | |
Book ISBNs |
978-3-31-916267-6, 978-3-31-916268-3
|
Authors |
Yoon, Hong-Jun, Tourassi, Georgia, Xu, Songhua, Hong-Jun Yoon, Georgia Tourassi, Songhua Xu |
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. |
X Demographics
As of 1 July 2024, you may notice a temporary increase in the numbers of X profiles with Unknown location. Click here to learn more.
Geographical breakdown
Country | Count | As % |
---|---|---|
United States | 2 | 33% |
Argentina | 1 | 17% |
Unknown | 3 | 50% |
Demographic breakdown
Type | Count | As % |
---|---|---|
Practitioners (doctors, other healthcare professionals) | 3 | 50% |
Members of the public | 3 | 50% |
Mendeley readers
Geographical breakdown
Country | Count | As % |
---|---|---|
Unknown | 22 | 100% |
Demographic breakdown
Readers by professional status | Count | As % |
---|---|---|
Researcher | 4 | 18% |
Student > Master | 3 | 14% |
Student > Bachelor | 3 | 14% |
Other | 2 | 9% |
Librarian | 1 | 5% |
Other | 3 | 14% |
Unknown | 6 | 27% |
Readers by discipline | Count | As % |
---|---|---|
Medicine and Dentistry | 6 | 27% |
Computer Science | 4 | 18% |
Environmental Science | 1 | 5% |
Psychology | 1 | 5% |
Economics, Econometrics and Finance | 1 | 5% |
Other | 2 | 9% |
Unknown | 7 | 32% |