Journal ArticleDOI
Computer aided decision making for heart disease detection using hybrid neural network-Genetic algorithm
Zeinab Arabasadi,Roohallah Alizadehsani,Mohamad Roshanzamir,Hossein Moosaei,Ali Asghar Yarifard +4 more
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TLDR
This work proposes a highly accurate hybrid method for the diagnosis of coronary artery disease that is able to increase the performance of neural network by approximately 10% through enhancing its initial weights using genetic algorithm which suggests better weights for neural network.About:
This article is published in Computer Methods and Programs in Biomedicine.The article was published on 2017-04-01. It has received 343 citations till now. The article focuses on the topics: Hybrid neural network & Coronary artery disease.read more
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Identification of COVID-19 can be quicker through artificial intelligence framework using a mobile phone-based survey when cities and towns are under quarantine.
TL;DR: The use of a machine learning algorithm is proposed to improve possible COVID-19 case identification more quickly using a mobile phone–based web survey, which could reduce the spread of the virus in susceptible populations under quarantine.
Journal ArticleDOI
A new machine learning technique for an accurate diagnosis of coronary artery disease
Moloud Abdar,Wojciech Książek,U. Rajendra Acharya,U. Rajendra Acharya,U. Rajendra Acharya,Ru San Tan,Vladimir Makarenkov,Paweł Pławiak +7 more
TL;DR: An innovative machine learning methodology is described that enables an accurate detection of CAD and applies it to data collected from Iranian patients and shows that machine-learning techniques optimized by the proposed approach can lead to highly accurate models intended for both clinical and research use.
Journal ArticleDOI
An Automated Diagnostic System for Heart Disease Prediction Based on ${\chi^{2}}$ Statistical Model and Optimally Configured Deep Neural Network
TL;DR: The findings of the study suggest that the proposed diagnostic system can be used by physicians to accurately predict heart disease.
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Improving the Prediction of Heart Failure Patients’ Survival Using SMOTE and Effective Data Mining Techniques
Abid Ishaq,Saima Sadiq,Muhammad Umer,Saleem Ullah,Seyedali Mirjalili,Vaibhav Rupapara,Michele Nappi +6 more
TL;DR: In this paper, the authors analyzed the heart failure survivors from the dataset of 299 patients admitted in hospital and found significant features and effective data mining techniques that can boost the accuracy of cardiovascular patient's survivor prediction.
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Book
Data Mining: Practical Machine Learning Tools and Techniques
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Introduction to Statistical Pattern Recognition
TL;DR: This completely revised second edition presents an introduction to statistical pattern recognition, which is appropriate as a text for introductory courses in pattern recognition and as a reference book for workers in the field.
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Data Mining
TL;DR: In this paper, generalized estimating equations (GEE) with computing using PROC GENMOD in SAS and multilevel analysis of clustered binary data using generalized linear mixed-effects models with PROC LOGISTIC are discussed.