DEVELOPMENT AND PERFORMANCE OF TEXT-MINING ALGORITHMS TO EXTRACT SOCIOECONOMIC STATUS FROM DE-IDENTIFIED ELECTRONIC HEALTH RECORDS

Socioeconomic status (SES) is a fundamental contributor to health, and a key factor underlying racial disparities in disease. However, SES data are rarely included in genetic studies due in part to the difficultly of collecting these data when studies were not originally designed for that purpose. T...

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Bibliographische Detailangaben
Veröffentlicht in:Pac Symp Biocomput
Hauptverfasser: Hollister, Brittany M., Restrepo, Nicole A., Farber-Eger, Eric, Crawford, Dana C., Aldrich, Melinda C., Non, Amy
Format: Artigo
Sprache:Inglês
Veröffentlicht: 2016
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Article
Online Zugang:https://ncbi.nlm.nih.gov/pmc/articles/PMC5147499/
https://ncbi.nlm.nih.gov/pubmed/27896978
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