Building a Bio-Inspired Reinforcement Medical Network System for Optimal Relationships in Medical Communications(<Special Issue>INNOVATIVE BIOMEDICAL TECHNOLOGIES and INFORMATICS, BMFSA2008)

DOI
  • KIM Ikno
    Graduate School of Information, Production and Systems, Waseda University
  • CHU Yu-Yi
    Graduate School of Information, Production and Systems, Waseda University
  • JENG Don Jyh-Fu
    Institute of International Management, National Cheng Kung University
  • WATADA Junzo
    Graduate School of Information, Production and Systems, Waseda University
  • WU Jui-Yu
    Department of Biochemistry, School of Medicine, Taipei Medical University

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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.

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