Grey Wolf Optimization and Naive Bayes classifier Incorporation for Heart Disease Diagnosis
نویسنده
چکیده
منابع مشابه
A New Approach for Text Documents Classification with Invasive Weed Optimization and Naive Bayes Classifier
With the fast increase of the documents, using Text Document Classification (TDC) methods has become a crucial matter. This paper presented a hybrid model of Invasive Weed Optimization (IWO) and Naive Bayes (NB) classifier (IWO-NB) for Feature Selection (FS) in order to reduce the big size of features space in TDC. TDC includes different actions such as text processing, feature extraction, form...
متن کاملDiagnosis of Pulmonary Tuberculosis Using Artificial Intelligence (Naive Bayes Algorithm)
Background and Aim: Despite the implementation of effective preventive and therapeutic programs, no significant success has been achieved in the reduction of tuberculosis. One of the reasons is the delay in diagnosis. Therefore, the creation of a diagnostic aid system can help to diagnose early Tuberculosis. The purpose of this research was to evaluate the role of the Naive Bayes algorithm as a...
متن کاملInvestigate the Applicability of Gray Wolf Optimization Algorithm in Determining the Optimal Dimensions of Concrete Dams
Acquiring optimal dimensions of concrete dams by reducing the cross section will reduce the volume of concrete used and consequently reduce construction costs. Due to multiplicity of constraints which leads to complexity of the decision space, meta-heuristic optimization algorithms have been increasingly used in optimal design of gravity dams. In this study, performance of Grey Wolf Optimizer w...
متن کاملStructural Damage Assessment Via Model Updating Using Augmented Grey Wolf Optimization Algorithm (AGWO)
Some civil engineering-based infrastructures are planned for the Structural Health Monitoring (SHM) system based on their importance. Identifiction and detecting damage automatically at the right time are one of the major objectives this system faces. One of the methods to meet this objective is model updating whit use of optimization algorithms in structures.This paper is aimed to evaluate the...
متن کاملHeart Disease Risk Prediction Model (hdrpm) Methodology for Diabetic Patients
In the first experiment, presented Naïve Bayes data mining classifier technique has been applied which produces an optimal prediction model using minimum training set to predict the chances of diabetic patient getting heart disease. The diagnosis of diseases plays vital role in medical field. Using diabetic’s diagnosis, the proposed system predicts attributes such as age, sex, blood pressure an...
متن کاملذخیره در منابع من
با ذخیره ی این منبع در منابع من، دسترسی به آن را برای استفاده های بعدی آسان تر کنید
عنوان ژورنال:
دوره شماره
صفحات -
تاریخ انتشار 2017