A novel salp swarm clustering algorithm for prediction of the heart diseases
نویسندگان
چکیده
Heart <span>diseases have a severe impact on human life and health. Cardiovascular deaths diseases increased at fast rate worldwide. The early prediction of these is necessary to prevent deaths. Now day; considerable amount medical information available collected as databases. An efficient technique required analyse this data predict the disease. Clustering can help practitioners in diagnosis by classifying patient’s for techniques such based each patient-generated A new model salp swarm algorithm support vector machine proposed research predicting heart diseases. Salp used select useful features from database. Support classifier Results obtained are compared with other algorithms literature. It observed that approach produces better results accuracy 98.75% 98.46% dataset 1 2, respectively. In addition this, converges significantly less time comparison algorithms. This might become perfect supporting tool </span>practitioners.
منابع مشابه
Fuzzy Particle Swarm Optimization Algorithm for a Supplier Clustering Problem
This paper presents a fuzzy decision-making approach to deal with a clustering supplier problem in a supply chain system. During recent years, determining suitable suppliers in the supply chain has become a key strategic consideration. However, the nature of these decisions is usually complex and unstructured. In general, many quantitative and qualitative factors, such as quality, price, and fl...
متن کاملfuzzy particle swarm optimization algorithm for a supplier clustering problem
this paper presents a fuzzy decision-making approach to deal with a clustering supplier problem in a supply chain system. during recent years, determining suitable suppliers in the supply chain has become a key strategic consideration. however, the nature of these decisions is usually complex and unstructured. in general, many quantitative and qualitative factors, such as quality, price, and fl...
متن کاملA Novel Fuzzy Based Method for Heart Rate Variability Prediction
Abstract In this paper, a novel technique based on fuzzy method is presented for chaotic nonlinear time series prediction. Fuzzy approach with the gradient learning algorithm and methods constitutes the main components of this method. This learning process in this method is similar to conventional gradient descent learning process, except that the input patterns and parameters are stored in mem...
متن کاملwuthering heights and the concept of marality/a sociological study of the novel
to discuss my point, i have collected quite a number of articles, anthologies, and books about "wuthering heights" applying various ideas and theories to this fantastic story. hence, i have come to believe that gadamer and jauss are rightful when they claim that "the individaul human mind is the center and origin of all meaning," 3 that reading literature is a reader-oriented activity, that it ...
15 صفحه اولA Novel Fuzzy-Genetic Differential Evolutionary Algorithm for Optimization of A Fuzzy Expert Systems Applied to Heart Disease Prediction
This study presents a novel intelligent Fuzzy Genetic Differential Evolutionary model for the optimization of a fuzzy expert system applied to heart disease prediction in order to reduce the risk of heart disease. To this end, a fuzzy expert system has been proposed for the prediction of heart disease. The proposed model can be used as a tool to assist physicians. In order to: (1) tune the para...
متن کاملذخیره در منابع من
با ذخیره ی این منبع در منابع من، دسترسی به آن را برای استفاده های بعدی آسان تر کنید
ژورنال
عنوان ژورنال: Indonesian Journal of Electrical Engineering and Computer Science
سال: 2022
ISSN: ['2502-4752', '2502-4760']
DOI: https://doi.org/10.11591/ijeecs.v25.i1.pp265-272