Integrating r models with web technologies

Mingrui Zhang, Scott Olson, Joan Francioni, Tim Gegg-Harrison, Nan Meng, Zhifu Sun, Ping Yang

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

2 Scopus citations

Abstract

We describe a software framework designed to shorten the translation of research models from theory to clinical practice. The framework integrates research and clinical practice into a single software architecture. Specifically, we present a Survival Probability Predication Architecture (SPPA), which is an extensible software platform allowing researchers to experiment with their statistical models and make rapid delivery of these models to clinical practice without a lengthy software development cycle.

Original languageEnglish (US)
Title of host publicationHEALTHINF 2009 - Proceedings of the 2nd International Conference on Health Informatics
Pages411-415
Number of pages5
StatePublished - Jul 21 2009
Event2nd International Conference on Health Informatics, HEALTHINF 2009 - Porto, Portugal
Duration: Jan 14 2009Jan 17 2009

Publication series

NameHEALTHINF 2009 - Proceedings of the 2nd International Conference on Health Informatics

Other

Other2nd International Conference on Health Informatics, HEALTHINF 2009
CountryPortugal
CityPorto
Period1/14/091/17/09

Keywords

  • Cancer Patient
  • Lung Cancer
  • Software Tool
  • Survival
  • Treatment
  • Web

ASJC Scopus subject areas

  • Software
  • Biomedical Engineering
  • Health Informatics
  • Health Information Management

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