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Paper Information

Journal:   JOURNAL OF SOFT COMPUTING AND INFORMATION TECHNOLOGY (JSCIT)   SPRING 2016 , Volume 5 , Number 1; Page(s) 45 To 52.
 
Paper: 

A HYBRID FUZZY-GA APPROACH APPLIED TO AN EXPERT SYSTEM FOR DIAGNOSIS OF LIVER TUMOR

 
 
Author(s):  AMIRHOSSEINI BANAFSHEH, HOSSEINI RAHIL*, MAZINANI MAHDI
 
* DEPARTMENT OF COMPUTER ENGINEERING, SHAHR-E-QODS BRANCH, ISLAMIC AZAD UNIVERSITY, TEHRAN, IRAN
 
Abstract: 

Applications of soft computing techniques have been concentrated for management of the uncertainty associated to the medical diagnosis in the recent decade. This article presents a Fuzzy Expert System (FES) for diagnose of metastasis in the liver which is one of the most common malignant hepatic tumors. Furthermore, the proposed FES has been optimized using a genetic algorithm. The purpose of the hybrid fuzzy-GA approach is to adjust the FES parameters to enhance the system accuracy while the system interpretability has been kept. To experiment the proficiency of the intelligent Fuzzy-GA model, the performance of the system was evaluated with real dataset of patients gathered from the Noor Medical Imaging Center in Tehran. The FES performance was compared to the diagnosis of specialists before and after optimization with the GA. The results demonstrate that this system has a high capability in the management of uncertainty in the diagnosis with a high accuracy. The hybrid fuzzy-GA approach for hepatic tumors diagnosis is promising to assistant the specialists for early diagnosis of the cancer and saving more lives.

 
Keyword(s): SOFT COMPUTING, FUZZY INFERENCE SYSTEM, FUZZY-GA, GENETIC ALGORITHM, HEPATIC METASTASIS, COMPUTER AIDED MEDICAL DIAGNOSIS
 
 
References: 
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Click to Cite.
APA: Copy

AMIRHOSSEINI, B., & HOSSEINI, R., & MAZINANI, M. (2016). A HYBRID FUZZY-GA APPROACH APPLIED TO AN EXPERT SYSTEM FOR DIAGNOSIS OF LIVER TUMOR. JOURNAL OF SOFT COMPUTING AND INFORMATION TECHNOLOGY (JSCIT), 5(1), 45-52. https://www.sid.ir/en/journal/ViewPaper.aspx?id=570703



Vancouver: Copy

AMIRHOSSEINI BANAFSHEH, HOSSEINI RAHIL, MAZINANI MAHDI. A HYBRID FUZZY-GA APPROACH APPLIED TO AN EXPERT SYSTEM FOR DIAGNOSIS OF LIVER TUMOR. JOURNAL OF SOFT COMPUTING AND INFORMATION TECHNOLOGY (JSCIT). 2016 [cited 2021May08];5(1):45-52. Available from: https://www.sid.ir/en/journal/ViewPaper.aspx?id=570703



IEEE: Copy

AMIRHOSSEINI, B., HOSSEINI, R., MAZINANI, M., 2016. A HYBRID FUZZY-GA APPROACH APPLIED TO AN EXPERT SYSTEM FOR DIAGNOSIS OF LIVER TUMOR. JOURNAL OF SOFT COMPUTING AND INFORMATION TECHNOLOGY (JSCIT), [online] 5(1), pp.45-52. Available: https://www.sid.ir/en/journal/ViewPaper.aspx?id=570703.



 
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