Application of Improved Ant Colony Algorithm in Intelligent Medical System: from The Perspective of Big Data

نویسندگان

  • Tichun Wang
  • Hongyang Zhang
  • Lei Tian
  • Xiaomeng Pan
چکیده

With the development of technology and information science, big data becomes a buzzword on everyone’s tongue and changed the style of study and work. Using the advanced internet of things technology in big data context, intelligent medical can build regional information platform of health archive. Then, the purpose of intelligent medical is to achieve interaction among patients, doctors, medical services and medical organizations so as to gradually reach complete information construction. Here, the selection and construction of intelligent medical system is the important task. Then, the improved ant colony algorithm is developed in this paper to cluster and assess corresponding information provided by intelligent medical system in order to improve intelligent medical system. Finally, the example is introduced by using the proposed method and demonstrates the scientific of the proposed method.

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تاریخ انتشار 2016