Journal Article10.1016/J.COMPBIOMED.2017.09.011
Optimal feature selection using a modified differential evolution algorithm and its effectiveness for prediction of heart disease
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TL;DR: Various performance measures of integrating the modified differential evolution algorithm with fuzzy AHP and a feed-forward neural network in the prediction of heart disease are evaluated and the prediction time of the proposed hybrid model is evaluated and has shown promising results.
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About: This article is published in Computers in Biology and Medicine. The article was published on 01 Nov 2017. The article focuses on the topics: Feature selection & Feedforward neural network.
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Citations
Effective Heart Disease Prediction Using Hybrid Machine Learning Techniques
TL;DR: This paper proposes a novel method that aims at finding significant features by applying machine learning techniques resulting in improving the accuracy in the prediction of cardiovascular disease with the hybrid random forest with a linear model (HRFLM).
Applications of artificial neural networks in health care organizational decision-making: A scoping review
TL;DR: A seminal review of the applications of artificial neural networks to health care organizational decision-making and identifies key characteristics and drivers for market uptake of ANN for health care Organizations to guide further adoption of this technique.
Differential evolution: A recent review based on state-of-the-art works
01 May 2022
TL;DR: Differential evolution (DE) is a popular evolutionary algorithm inspired by Darwin's theory of evolution and has been studied extensively to solve different areas of optimisation and engineering applications since its introduction by Storn in 1997 as discussed by the authors .
258
A Healthcare Monitoring System for the Diagnosis of Heart Disease in the IoMT Cloud Environment Using MSSO-ANFIS
TL;DR: An IoMT framework for the diagnosis of heart disease using modified salp swarm optimization (MSSO) and an adaptive neuro-fuzzy inference system (ANFIS) is proposed, which improves the search capability using the Levy flight algorithm and achieves better accuracy than other approaches.
Differential evolution: A recent review based on state-of-the-art works
TL;DR: This study aims to review the massive progress of DE in the research community by analysing the 192 articles published on this subject from 1997 to 2021, particularly studies in the past five years.
205
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An introduction to variable and feature selection
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TL;DR: In this paper, variable and feature selection have become the focus of much research in areas of application for which datasets with tens or hundreds of thousands of variables are available, such as t...
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