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논문검색

Effective Analysis of Lung Infection using Fuzzy Rules

초록

영어

Soft Computing is a consortium of methodologies which works synergistically and provides an ability to make decision from reliable data or expert’s experience. Nowadays different types of soft computing techniques such as neural network, fuzzy logic, genetic algorithm and hybrid system are largely used in medical areas. In this paper, algorithm for analysis of lung infection is presented. The main focus is to develop system architecture to find probable disease stage patient may have. Severity level of disease is determined by using rule base method. The algorithm uses output of Rulebase and entered by user to determine level of infection.

목차

Abstract
 1. Introduction
  1.1 Knowledge based Clinical Decision Support System:
  1.2 Non-Knowledge based Clinical Decision Support System
 2. Review of Related Work
 3. Fuzzy Diagnostic Decision Support System
  3.1. Proposed Fuzzy Medical Diagnosis System
 4. System Modelling and Working
 5. Conclusion
 References

저자정보

  • Sharad Kumar Tiwari Thapar University, Patiala
  • Navneet Walia CT Institute of Technology and Research, Jalandhar
  • Harsukhpreet Singh CT Institute of Technology and Research, Jalandhar
  • Anurag Sharma CT Institute of Technology and Research, Jalandhar

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