Advances in text mining and visualization for precision medicine

Graciela Gonzalez-Hernandez, Abeed Sarker, Karen O’Connor, Casey Greene, Hongfang Liu

Research output: Contribution to journalConference articlepeer-review

1 Scopus citations

Abstract

According to the National Institutes of Health (NIH), precision medicine is “an emerging approach for disease treatment and prevention that takes into account individual variability in genes, environment, and lifestyle for each person.” Although the text mining community has explored this realm for some years, the official endorsement and funding launched in 2015 with the Precision Medicine Initiative are beginning to bear fruit. This session sought to elicit participation of researchers with strong background in text mining and/or visualization who are actively collaborating with bench scientists and clinicians for the deployment of integrative approaches in precision medicine that could impact scientific discovery and advance the vision of precision medicine as a universal, accessible approach at the point of care.

Original languageEnglish (US)
Pages (from-to)559-565
Number of pages7
JournalPacific Symposium on Biocomputing
Volume0
Issue number212669
DOIs
StatePublished - 2018
Event23rd Pacific Symposium on Biocomputing, PSB 2018 - Kohala Coast, United States
Duration: Jan 3 2018Jan 7 2018

Keywords

  • Biomedicine
  • Natural language processing
  • Personalized medicine
  • Precision medicine
  • Text mining
  • Visualization

ASJC Scopus subject areas

  • Biomedical Engineering
  • Computational Theory and Mathematics

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