Introduction to part III: Markers to mHealth predictors

James M. Rehg, Susan A. Murphy, Santosh Kumar

Research output: Chapter in Book/Report/Conference proceedingChapter


Given the ability to extract physiological and behavioral markers from continuous streams of sensor data, a key challenge is to convert the resulting marker sequences into predictions of risk for adverse outcomes, that can be used to inform interventions. The four articles in this part cover visualization, models for temporal data, and a case study on predicting high-stress events.

Original languageEnglish (US)
Title of host publicationMobile Health
Subtitle of host publicationSensors, Analytic Methods, and Applications
EditorsJames M Rehg, Susan A Murphy, Santosh Kumar
Number of pages4
ISBN (Electronic)9783319513942
ISBN (Print)9783319513935
StatePublished - Jul 12 2017
Externally publishedYes

ASJC Scopus subject areas

  • General Medicine
  • General Computer Science


Dive into the research topics of 'Introduction to part III: Markers to mHealth predictors'. Together they form a unique fingerprint.

Cite this