Diagnosis Blood Test for Liver Disease using Fuzzy Logic

Authors

  • Asma Hashmi Government College University
  • Muhammad Saleem Khan

Keywords:

Fuzzy Logic, Fuzzy Logic Control, White Cells, Hematocrit, Hemoglobin, Blood Platelets, Medical Diagnosis Control System, Inference Engine, Rule Selector, Membership Function, Center of Average

Abstract

Most commonly lab test used to measure or monitor general health and liver health are following: Liver Biochemical/Function test, CBC and Chemistry Panel. In this thesis we are focusing on CBC. Complete Blood Counts measure the four components of blood leukocytes, Hematocrit, Hemoglobin and Blood Platelets. For this purpose we design fuzzy control model which help to diagnose a disease related to human liver. Fuzzy design model have four input variables (leukocytes, hematocrit, hemoglobin, blood platelets) and three output variables (infection fight, anemia and thrombocytopenia). Fuzzy design model algorithm divided into four steps Fuzzification, Inference Engine, Rule selector and Defuzzification. Each input variable and output variable graphically represented by MF

Author Biography

Asma Hashmi, Government College University

Software Engineer in Shaukat Khanum Memorial Cancer Hospital & Research Centre

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Published

2015-01-30

How to Cite

Hashmi, A., & Khan, M. S. (2015). Diagnosis Blood Test for Liver Disease using Fuzzy Logic. International Journal of Sciences: Basic and Applied Research (IJSBAR), 20(1), 151–183. Retrieved from https://gssrr.org/index.php/JournalOfBasicAndApplied/article/view/3348

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