0% Complete
English
صفحه اصلی
/
یازدهمین کنفرانس بین المللی فناوری اطلاعات و دانش
The risk prediction of heart disease by using neuro-fuzzy and improved GOA
نویسندگان :
Vahid Safari Dehnavi
1
Masoud Shafiee
2
1- Amirkabir University of Technology
2- Amirkabir University of Technology
کلمات کلیدی :
Cardiovascular disease, prediction, patient’s condition, expert system.
چکیده :
In recent years, intelligent systems have been widely used as an expert system. In this paper, an intelligent system is provided for determining the risk of cardiovascular diseases; therefore, an expert system based on fuzzy inference has been used to determine the risk of heart disease for patients. At first, a structure based on neuro-fuzzy is used in which the input of this networks includes patient's data such as blood pressure, and age, and the output of this networks indicates the risk of cardiovascular disease for the patient over the next 10 years. In this article, by using a genetic algorithm (GA), we try to reduce the input characteristics to determine the patient's condition. The least-squares algorithm is used to determine the linear parameters of the neuro-fuzzy and, the proposed improved grasshopper optimization algorithm is used to optimize the nonlinear parameters of the fuzzy sets. Then the neuro-fuzzy network is used to determine the patient's condition. Finally, the proposed network and algorithm are validated by using quantitative patient data which was obtained from patients in Framingham. The results show that the network and algorithm are acceptable, and fuzzy logic has a simpler structure.
لیست مقالات
لیست مقالات بایگانی شده
3D Mesh ONoC: Design of low Insertion Loss and Non-blocking Optical Router and Efficient Routing Algorithm
Sanaz Asadinia - Elham Yaghoubi - Mostafa Sadeghi - Mahdi Mehrabi
مکانیابی خطاهای کاربردها و خدمات نرمافزاری با کمک تولید داده آزمون با نامتغیرهای محتمل
محمد نصرتی مقدم - حسن حقیقی - مجتبی وحیدی اصل
Improved Weighting in the Automated Texts Classification using Fuzzy Method
Hamidreza Sadrarhami - S. Mohammadali Zanjani - Ghazanfar Shahgholian
Improving Fog Computing Scalability in Software Defined Network using Critical Requests Prediction in IoT
Hajar Ghanbari
Business Process Improvement Challenges: A Systematic Literature Review
Hanieh Kashfi - Fereidoon Shams Aliee
Real-Time EEG-Based Analysis Of Stress-Inducing Stimuli
Mohsen Mahmoudi - Fattaneh Taghiyareh - Yasamin Akhavein - Elnaz Ghorbani
Optimal control of robotic hand for rehabilitation using fractional order systems and EEG signal processing
Mehran Safari Dehnavi - Vahid Safari Dehnavi - Masoud Shafiee
Advanced SMS Spam Detection using Deep Complex Models and Sine-Cosine Algorithm
Sepehr Rezaei - Mohammadreza Shams - Mohsen Alambardar Meybodi
Classification of Personality Traits on Facebook Using Key Phrase Extraction, Language Models and Machine Learning
Faezeh Safari - Abdolah Chalechale
A Demand Response Schema in Industry: Smart Scheduling Approach for Industrial Processes
Negin Shafinezhad - Hamid Abrishami - Maryam Mahmoodi
بیشتر
ثمین همایش، سامانه مدیریت کنفرانس ها و جشنواره ها - نگارش 42.0.3