Diagnosis of Liver Disorders Using a Combination of Adaptive Neuron-Fuzzy Inference System and Particle Swarm Optimization Algorithm

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Ahmadi Mohammadhasan; RAMEZANPOUR MOHAMMADREZA; KHORSAND REIHANEH

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Journal: Journal of Health Information Management Year:2019 | Volume:16 | Issue:3 (67) Page(s): 115-121

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Information Journal Paper

Title

Diagnosis of Liver Disorders Using a Combination of Adaptive Neuron-Fuzzy Inference System and Particle Swarm Optimization Algorithm

Author(s)

Ahmadi Mohammadhasan | RAMEZANPOUR MOHAMMADREZA | KHORSAND REIHANEH | Issue Writer Certificate

Keywords

Data MiningQ1

DiagnosisQ2

Liver DiseasesQ1

PatientsQ2

HeuristicsQ1

Abstract

Introduction: The incidence of Liver Diseases in a person can lead to susceptibility to liver cancer in long-term, which is one of the deadliest forms of cancer in the world, which can be prevented. Early Diagnosis of Liver Diseases is essential for their treatment. The purpose of this study was to classify the status of liver Patients based on laboratory parameters using the Data Mining approach. Methods: In this descriptive study, particle swarm optimization (PSO) algorithms and adaptive neuron-fuzzy inference system (ANFIS) were used to diagnose liver disorders in healthy individuals and Patients. The data were taken from University of California-Irvine (UCI) database. Accuracy, sensitivity, and precision criteria were used to evaluate the proposed method. Results: The combination of ANFIS and PSO algorithm with average accuracy of 14. 99 percent was able to detect liver disorders in Indian Liver Patient Dataset (ILPD). Conclusion: The results of this study indicate the high abilities of ANFIS in liver disorders detection. The proposed model has minimum error, and maximum accuracy and precision compared to other models. The application of this model is proposed in the detection of Liver Diseases.

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APA: Copy

Ahmadi, Mohammadhasan, RAMEZANPOUR, MOHAMMADREZA, & KHORSAND, REIHANEH. (2019). Diagnosis of Liver Disorders Using a Combination of Adaptive Neuron-Fuzzy Inference System and Particle Swarm Optimization Algorithm. HEALTH INFORMATION MANAGEMENT, 16(3 (67) ), 115-121. SID. https://sid.ir/paper/121862/en

Vancouver: Copy

Ahmadi Mohammadhasan, RAMEZANPOUR MOHAMMADREZA, KHORSAND REIHANEH. Diagnosis of Liver Disorders Using a Combination of Adaptive Neuron-Fuzzy Inference System and Particle Swarm Optimization Algorithm. HEALTH INFORMATION MANAGEMENT[Internet]. 2019;16(3 (67) ):115-121. Available from: https://sid.ir/paper/121862/en

IEEE: Copy

Mohammadhasan Ahmadi, MOHAMMADREZA RAMEZANPOUR, and REIHANEH KHORSAND, “Diagnosis of Liver Disorders Using a Combination of Adaptive Neuron-Fuzzy Inference System and Particle Swarm Optimization Algorithm,” HEALTH INFORMATION MANAGEMENT, vol. 16, no. 3 (67) , pp. 115–121, 2019, [Online]. Available: https://sid.ir/paper/121862/en

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