Exploring an evolutionary medical analytic wallet

  • Authors:
  • Aaron K. Baughman;Mweene Monze;Christian Eggenberger;Peter Malkin;Neil Katz;Chris Dawson;Barry Graham

  • Affiliations:
  • IBM, Silver Spring, MD, USA;IBM, South Africa, South Africa;IBM, Switzerland, Switzerland;IBM, Hawthorne, NY, USA;IBM, Boca Raton, FL, USA;IBM, Bethesda, MD, USA;IBM, Bethesda, MD, USA

  • Venue:
  • Proceedings of the 11th Annual Conference Companion on Genetic and Evolutionary Computation Conference: Late Breaking Papers
  • Year:
  • 2009

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Abstract

The practice of medicine and biomedical research has become information based, which enhances safety, efficiency, and the effectiveness of the health enterprise. Informational sources such as entire mapped genome systems, advance imaging techniques, health screening technologies and individualized medical plans require advanced analytical engines. Biomedical analytics provides a high throughput system for pattern and feature analysis that delivers personalized or information based medicine. Personal multimedia and medical data need to be shared and combined for proper patient diagnosis and prognosis. A multimodal analytic wallet provides a construct for the encapsulation of personalized information and computational algorithms. This exploratory paper discusses an idea of leveraging neuroplastic fidelity within a virtual and real world biomedical analytic wallet. The key components of the biomedical wallet include a pervasive repository, analytic interface and analytic environment that encompass a neuroplastic fidelity algorithm.