Biomedical Informatics Methods for Personalized Medicine and Participatory Health

Fernando Martin-Sanchez*, Guillermo Lopez-Campos, Kathleen Gray

*Corresponding author for this work

Research output: Chapter in Book/Report/Conference proceedingChapter

10 Citations (Scopus)


New biomedical informatics methods are required to facilitate new models of personalized medicine and participatory health care, which demonstrate enormous potential to exploit advances in technology and knowledge.Personalized medicine describes the advent of a very precise approach to prevention, diagnosis, and therapy-these can now be tailored to groups of individuals, taking into account their molecular fingerprint (genome), phenotype (phenome), and environmental exposure (exposome).Participatory health care is an emerging paradigm in which citizens take active responsibility for their own health-using social media and high-capacity broadband networks for self-tracking and quantifying health status, maintaining and sharing personal health records, and crowdsourcing data for clinical research.This chapter describes and illustrates biomedical informatics methods for collecting data from wearable and environmental sensors, for representing new forms of data in standardized formats, for integrating data from disparate sources, and for analysis and visualization of the large volumes of data, or "big data," that ensue.

Original languageEnglish
Title of host publicationMethods in Biomedical Informatics
Subtitle of host publicationA Pragmatic Approach
PublisherElsevier Inc.
Number of pages48
ISBN (Print)9780124016781
Publication statusPublished - 01 Oct 2013
Externally publishedYes


  • Association study
  • Biomedical informatics
  • Databases
  • EHR
  • Genomics
  • Participatory health
  • Patient engagement
  • Personalized medicine
  • PHR
  • Sensors

ASJC Scopus subject areas

  • Biochemistry, Genetics and Molecular Biology(all)


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