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Advanced Expert System Using Particle Swarm Optimization Based Adaptive Network Based Fuzzy Inference System to Diagnose the Physical Constitution of Human Body

  • M. SivaramEmail author
  • Amin Salih Mohammed
  • D. Yuvaraj
  • V. Porkodi
  • V. Manikandan
  • N. Yuvaraj
Conference paper
Part of the Communications in Computer and Information Science book series (CCIS, volume 985)

Abstract

The Korean medicine has suggested 8 distinct combinations of constitutions in a human body. The eccentricity of the physicians is to diagnose the relevant constitution over a patient physical body. To assist the physicians and to improve the diagnosing quality of disease, we present an automating diagnosing method. Hence, to automate the diagnosis of 8 constitutions, an expert system is used, which predicts the constitutions based on given inputs. An automated diagnosis is carried out using rule based optimization expert system, namely Bees Swarm Optimization (BSO) based Adaptive Neuro Fuzzy Interference System (ANFIS). The BSO based ANFIS or BSO-ANFIS is recommended to automate the diagnosis process using standard datasets. The comparative results with ANFIS system and proves that BSO-ANFIS matches well with the physicians report than ANFIS system.

Keywords

Korean constitutions BSO-ANFIS Medical expert systems 

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Copyright information

© Springer Nature Singapore Pte Ltd. 2019

Authors and Affiliations

  • M. Sivaram
    • 1
    Email author
  • Amin Salih Mohammed
    • 1
  • D. Yuvaraj
    • 2
  • V. Porkodi
    • 1
  • V. Manikandan
    • 1
  • N. Yuvaraj
    • 3
  1. 1.Department of Computer NetworkingLebanese French UniversityErbilIraq
  2. 2.Department of Computer ScienceCihan UniversityDuhok, Kurdistan RegionIraq
  3. 3.Department of Computer Science and EngineeringSt. Peter’s Institute of Higher Education and ResearchChennaiIndia

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