Advances in text mining and visualization for precision medicine

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

Research output: Chapter in Book/Report/Conference proceedingConference contribution

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)
Title of host publicationPACIFIC SYMPOSIUM ON BIOCOMPUTING 2018
PublisherWorld Scientific Publishing Co. Pte Ltd
Pages559-565
Number of pages7
Edition212669
ISBN (Print)9789813235533
DOIs
StatePublished - Jan 1 2018
Externally publishedYes
Event23rd Pacific Symposium on Biocomputing, PSB 2018 - Kohala Coast, United States
Duration: Jan 3 2018Jan 7 2018

Other

Other23rd Pacific Symposium on Biocomputing, PSB 2018
CountryUnited States
CityKohala Coast
Period1/3/181/7/18

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Keywords

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

ASJC Scopus subject areas

  • Biomedical Engineering
  • Computational Theory and Mathematics

Cite this

Gonzalez-Hernandez, G., Sarker, A., O’Connor, K., Greene, C., & Liu, H. D. (2018). Advances in text mining and visualization for precision medicine. In PACIFIC SYMPOSIUM ON BIOCOMPUTING 2018 (212669 ed., pp. 559-565). World Scientific Publishing Co. Pte Ltd. https://doi.org/10.1142/9789813235533_0051