Fuzzy expert system for the risk identification of the hepatocellular carcinoma

Author

Satarkar, S.L. ; Ali, Md Sharafat

Author_Institution

Dept. of CSE, Coll. of Eng. & Technol., Akola, Akola, India

fYear

2014

fDate

9-11 May 2014

Firstpage

1

Lastpage

6

Abstract

Hepatocellular carcinoma is a cancer arising from the liver. It is also known as primary liver cancer or hepatoma. Hepatocellular carcinoma is the third most common cancer in the world. This paper aims at developing a fuzzy expert system for the risk identification of the hepatocellular carcinoma which will be useful to the doctors as a decision support system for the management of the hepatocellular carcinoma treatment. The developed system has five input variables (AFP, Tumor grade, Tumor size, Lymph node and albumin) and one output variable (Risk status). The output variable is a value from 1 to 4 representing low risk status, intermediate risk status and high risk status. This system is designed in MATLAB and uses Mamdani interface method.

Keywords

cancer; decision support systems; fuzzy set theory; liver; mathematics computing; medical expert systems; patient treatment; tumours; user interfaces; AFP; MATLAB; Mamdani interface method; albumin; decision support system; fuzzy expert system; hepatocellular carcinoma treatment management; hepatoma; high risk status; intermediate risk status; low risk status; lymph node; primary liver cancer; risk identification; tumor grade; tumor size; Cancer; Input variables; Expert System; Fuzzy; Hepatocellular Carcinoma; Medical Diagnosis;

fLanguage

English

Publisher

ieee

Conference_Titel

Recent Advances and Innovations in Engineering (ICRAIE), 2014

Conference_Location

Jaipur

Print_ISBN

978-1-4799-4041-7

Type

conf

DOI

10.1109/ICRAIE.2014.6909198

Filename

6909198