Building a Bio-Inspired Reinforcement Medical Network System for Optimal Relationship in Medical Communication

Ikno Kim, Yu Yi Chu, Don Jyh Fu Jeng, Junzo Watada, Jui-Yu Wu

Research output: Contribution to journalArticle

Abstract

Although advanced information technologies provide useful information to medical service workers, the workers in medical workplaces are offered no easy opportunities for enhancing relationships for the exchange of medical information. One reason for this is that it is difficult to find optimal relationships when a number of medical service workers are involved. In this article, we specifically focus on density analysis of medical service teams where medical service workers are connected via their medical work-related values. We apply a DNA computing method as a profound method by which to find optimal relationships for medical communications. The results of the density analysis show how efficient a DNA computing method approach can be in building a reinforced
medical network system.
Original languageEnglish
Pages (from-to)9-16
JournalInternational journal of biomedical soft computing and human sciences
Volume15
Issue number2
Publication statusPublished - 2009

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Reinforcement
DNA
Communication
Information technology

Keywords

  • Density analysis
  • DNA computing
  • NP-hard problem
  • Medical communication
  • Medical network system
  • Medical-related values

Cite this

Building a Bio-Inspired Reinforcement Medical Network System for Optimal Relationship in Medical Communication. / Kim, Ikno; Chu, Yu Yi; Jeng, Don Jyh Fu; Watada, Junzo; Wu, Jui-Yu.

In: International journal of biomedical soft computing and human sciences, Vol. 15, No. 2, 2009, p. 9-16.

Research output: Contribution to journalArticle

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