Evidence map›Paper›PMID 26618206›Full record

ArticleSocial computing, behavioral-cultural modeling, and prediction : 8th International Conference, SBP 2015, Washington, DC, USA, March 31-April 3, 2015. Proceedings. International Conference on Social Computing, Behavioral Modeling and Pre...

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

Hong-Jun Yoon, Georgia Tourassi, Songhua Xu

Abstract read
PubMed Full text at PMC Publisher
In one paragraph

Article in Social computing, behavioral-cultural modeling, and prediction : 8th International Conference, SBP 2015, Washington, DC, USA, March 31-April 3, 2015. Proceedings. International Conference on Social Computing, Behavioral Modeling and Pre.... The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 2 papers.

0numbers the graph read from it
0cells of the map it votes in
2citing papers in PubMed
–field-weighted citation impact
1 · What the graph read from it

What it found

Each row is one number read from the abstract, on the scale the paper reported it, with its interval. Left of the dashed line favours the treatment, right favours the comparator. Under each row is the sentence it came from. New to these charts? A ten-minute tutorial.

The abstract states no effect estimate the extractor could read, or names no intervention and outcome on the map, so this paper lights no cell and moves no belief. It is still indexed, cited and linked below.

2 · The registry

The trial behind it

Trials whose registry record cites this paper, or whose number appears in the abstract. A trial that started after this paper was published is citing it as background, not reporting it.

Neither the registry nor the abstract names a trial number. If this is a trial report, that itself is worth knowing.

3 · Its place in the literature

Who cites it

2 citing papers in PubMed.

  1. Article
  2. Article
4 · The record

Corrections and comments

PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.

5 · Who and what money

Authors and funding

3 authors.

Hong-Jun YoonHealth Data Sciences Institute, Oak Ridge National Laboratory, Oak Ridge, TN 37831, USA.
Georgia TourassiDepartment of Information Systems, College of Computing Sciences, New Jersey Institute of Technology, University Heights, Newark, NJ 07102, USA.
Songhua Xu

Funding

A Cyber-Informatics Approach to Studying Migration and Environmental Cancer RiskR01CA170508 · NCI · UT-BATTELLE, LLC-OAK RIDGE NATIONAL LAB · PI TOURASSI, GEORGIA, XU, SONGHUA · 2012 to 2015
$1.6M
NCI NIH HHS R01 CA170508
6 · The paper itself

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.

Indexed as

Health data informaticsLung cancerResidential mobilitySocial media

Identifiers

PMID26618206
PMCPMC4662563

What OpenQuestion holds

Textmetadata
LicenceTDM
Read underepoch 390

Registered trials

None linked

Read under generation 80e0d062 · epoch 390. Bibliography from PubMed, PubMed Central and OpenAlex; grants from NIH RePORTER; trial links from ClinicalTrials.gov; estimates, votes and beliefs from the OpenQuestion graph.