Journal of Computational Intelligence in Bioinformatics

  • Year: 2009
  • Volume: 2
  • Issue: 1and2

Bionet: Neural Network Approach to an Adaptive Stochastic Clustering for HIV/AIDs Clinical Trails using ART1

  • Author:
  • M. Lilly Florence, D. Swamydoss
  • Total Page Count: 7
  • DOI:
  • Page Number: 69 to 75

Department of MCA, Adhiyamaan College of Engg., Hosur. E-mail: lilly_swamy@yahoo.co.in

Abstract

Since the detection of HIV infection, the infected number is growing vey fast in the country. Even though in medical field has many decision making system there is no appropriate clinical system for HIV. This network model designed to identify how long the life of HIV patient can prolong with the calculated ratio of regimens. This model is designed based on ART1 network. To learn this model 300 patient details are taken and trained the network. Among this, particularly some 25 patients are observed and study the improvement in their medical results. There are 10 parameter has taken for this network.

Research in the area of clustering the patients based on their medical history and regimens. There are two clusters that is, the first group belongs those patients who are not able to prolong their life more than of 10 years if they follow certain regimens. The second group of patients they can be alive more than 10 years with certain regimens.