Innovative Artificial Neural Networks-Based Decision Support System for Heart Diseases Diagnosis

Journals Menu

Follow SCIRP

	customer@scirp.org
	+86 18163351462(WhatsApp)
	1655362766

	Paper Publishing WeChat

Journal of Intelligent Learning Systems and Applications

ISSN Print: 2150-8402
ISSN Online: 2150-8410
www.scirp.org/journal/jilsa
E-mail: jilsa@scirp.org

Google-based Impact Factor: 2.33
Citations

Journals Menu

"Innovative Artificial Neural Networks-Based Decision Support System for Heart Diseases Diagnosis"
written by Sameh Ghwanmeh, Adel Mohammad, Ali Al-Ibrahim,
published by Journal of Intelligent Learning Systems and Applications, Vol.5 No.3, 2013

has been cited by the following article(s):

Google Scholar
CrossRef

[1]	Improving the accuracy of diagnosing and predicting coronary heart disease using ensemble method and feature selection techniques
	Cluster Computing, 2024

[2]	Empirical exploration of whale optimisation algorithm for heart disease prediction
	Scientific Reports, 2024

[3]	Investigation of machine learning algorithms for the pre-estimating medical diagnosis
	AIP Conference …, 2024

[4]	Evaluating the Effectiveness of Heart Disease Prediction
	International Journal of …, 2024

[5]	Detection of Heart Disease Using ANN: Present Research and Future Opportunities
	Future of AI in Biomedicine and Biotechnology, 2024

[6]	A Multifactorial Approach to Explain Risk Features for Predicting Survival Rate of Heart Failure
	International Conference on Wireless Intelligent and …, 2023

[7]	Early Detection and Classification of Heart Diseases by Employing IFCMML and 2L-C Model with I-GA Machine Learning Methods
	Indian Journal …, 2023

[8]	Advance Machine Learning Based Optimal Heart Disease Prediction System
	2023 2nd International …, 2023

[9]	AI-Doctor-A Machine Learning Aided Health Monitoring system by analyzing sound signals
	… of the 2023 International Conference on …, 2023

[10]	EFFICIENT AND PREDICTION OF CARDIOVASCULAR DISEASE USING MACHINE LEARNING ALGORITHIM WITH RELIEF LASSO FEATURES SELECTION …
	Journal of Engineering Sciences, 2023

[11]	Analyses the Predictive Power of Machine Learning Procedures Over Multi Diseases Datasets
	2023 3rd International …, 2023

[12]	Cardiovascular Disease Prediction Using Deep Learning Models
	International Conference on …, 2023

[13]	Enhanced extremely boosted neural network (EXBNet) for effective Heart Disease Prediction
	2023 14th International Conference on …, 2023

[14]	Diagnosing cardiovascular disease via intelligence in healthcare multimedia: a novel approach
	Turjman… - International …, 2023

[15]	HypGB: High Accuracy GB Classifier for Predicting Heart Disease with HyperOpt HPO Framework and LASSO FS Method
	IEEE Access, 2023

[16]	Novel Deep Neural Network for Early Prediction and Prevention of Cardiovascular Disease
	2023

[17]	Performance evaluation of machine learning techniques (MLT) for heart disease prediction
	… Methods in Medicine, 2023

[18]	Cardiac disease prediction using AI algorithms with SelectKBest
	Medical & Biological Engineering & Computing, 2023

[19]	An Alzheimer's disease classification model using transfer learning Densenet with embedded healthcare decision support system
	Decision Analytics …, 2023

[20]	Performansi Algoritma Decision Tree (C4. 5) untuk Prediksi Penyakit Jantung
	Jurnal Cakrawala Informasi, 2023

[21]	Proposition d'un modèle de prédiction basé sur Machine Learning et le web sémantique
	2023

[22]	Heart Condition Forecasting Using High-Accuracy ANN Algorithms
	… Electronics Devices and …, 2023

[23]	Prediction of Heart Disease and Heart Failure Using Ensemble Machine Learning Models
	… Conference on Machine …, 2023

[24]	A Review on Heart Disease Detection Using Machine Learning
	2022

[25]	A Survey On Effective Heart Disease Diagnosis For Machine Learning Algorithms
	Journal of Pharmaceutical Negative …, 2022

[26]	Comparative Analysis of Naive Bayes, K-Nearest Neighbors (KNN), and Support Vector Machine (SVM) Algorithms for Classification of Heart Disease Patients
	Jurnal Online Informatika, 2022

[27]	A Knowledge Discovery Based System Predicting Modelling for Heart Disease with Machine Learning
	… Journal of Innovative …, 2022

[28]	Machine Learning and Deep Neural Network Techniques for Heart Disease Prediction
	2022 25th International …, 2022

[29]	Prediction of Cardiovascular Disease using Machine Learning Algorithms with Relief and Lasso Feature Selection Techniques
	Mathematical …, 2022

[30]	HUMAN IMMUNE PREDICTION USING MACHINE LEARNING
	Interdisciplinary Research in the Current Era, 2022

[31]	A Comparative Analysis of Intelligent Machine Learning for Cardiovascular Disease Classification
	… Conference on Intelligent Technology, System and …, 2022

[32]	Classification model for heart disease prediction using correlation and feature selection techniques
	2022 OITS International …, 2022

[33]	Post-COVID-Efficient and Reliable Cardiovascular Disease Prediction Using Random Forest and GA with KNN
	International Conference on Intelligent Computing …, 2022

[34]	An Intelligent Machine Learning-Based System for Predicting Heart Disease Using Mixed Feature Creation Technique
	… Conference of Advanced Computing and Informatics, 2022

[35]	Incorporating CNN Features for Optimizing Performance of Ensemble Classifier for Cardiovascular Disease Prediction
	Diagnostics, 2022

[36]	Analysis of long term water quality variations driven by multiple factors in a typical basin of Beijing-Tianjin-Hebei region combined with neural networks
	Journal of Cleaner …, 2022

[37]	A Method for Improving Prediction of Human Heart Disease Using Machine Learning Algorithms
	Mobile Information …, 2022

[38]	Intelligent Framework for Prediction of Heart Disease using Deep Learning
	Arabian Journal for …, 2022

[39]	Improving heart disease prediction using multi-tier ensemble model
	… Modeling Analysis in Health Informatics and …, 2022

[40]	Cardiovascular Disease Prediction Using Deep Neural Network for Older People
	Deep Learning for …, 2022

[41]	Rehabilitasyon Hizmetlerinde Yapay Zekâ Uygulamaları
	Acta Infologica, 2022

[42]	Predicting the Cardiac Diseases using SelectKBest Method Equipped Light Gradient Boosting Machine
	… on Trends in …, 2022

[43]	Application of AI in Healthcare
	Smart Systems for Industrial Applications, 2022

[44]	Heart Disease Classification–Based on the Best Machine Learning Model
	Iraqi Journal of Science, 2022

[45]	Health Seek: A Deep Learning-Based Intelligent System to Aid Medical Diagnosis
	Journal of Biomedical Science and Engineering, 2022

[46]	Heart Disease Prediction: A Comparative Study Based on a Machine-Learning Approach
	Artificial Intelligence and …, 2022

[47]	Study of Various Classification Approaches including Deep Learning in Heart Disease Prediction
	American Journal of …, 2022

[48]	A Deep Learning and Multilayer Neural Network Approach for Coronary Heart Disease Detection
	Society 5.0 and the …, 2022

[49]	Developing Risk Level Prediction Model and Clinical Decision Support System for Cardiovascular Diseases in Ethiopia
	2022

[50]	Machine Learning Based Diagnosis System for Easy and Fast Heart Disease Prediction
	Interdisciplinary Research in …, 2021

[51]	DETECTION OF HEART DISEASES USING DATA MINING TECHNIQUES
	2021

[52]	Optimized Random Forest Algorithm with Parameter Tuning for Predicting Heart Disease
	… on Advances in Computing and Data …, 2021

[53]	A Hybridized Model for the Prediction of Heart Disease using ML Algorithms
	… on Advances in …, 2021

[54]	Heart disease classification comparison among patients and normal subjects using machine learning and artificial neural network techniques
	International Journal of …, 2021

[55]	Fusion-Based Machine Learning Architecture for Heart Disease Prediction
	2021

[56]	Deep learning methods in internet of medical things for valvular heart disease screening system
	IEEE Internet of Things Journal, 2021

[57]	Deep Convolutional Neural Network Feed Forward and Back Prop a gation (DCNN F BP) Algorithm f or Predicting Heart Disease u sing Internet of Things
	International Journal of Engineering, 2021

[58]	Identification of Heart Disease Using Fs Algorithm
	2021

[59]	Diagnosing of disease using machine learning
	2021

[60]	Efficient Prediction of Cardiovascular Disease Using Machine Learning Algorithms With Relief and LASSO Feature Selection Techniques
	2021

[61]	A new multi-agent feature wrapper machine learning approach for heart disease diagnosis
	2021

[62]	Earlier Detection of Diabetes using Machine Learning
	2021

[63]	A Study on Analysis of Factors Affecting Debt Mutual Fund Performance in India
	Annals of the Romanian …, 2021

[64]	An Efficient Heart Disease Prediction System based on Supervised Machine Learning Methods
	International Journal of Computing Algorithm, 2021

[65]	ANALYSIS OF HEART ATTACK PREDICTION USING VARIOUS PARAMETERS
	2021

[66]	PREDIKSI PENYAKIT JANTUNG CARDIOVASCULAR MENGGUNAKAN MODEL ALGORITMA KLASIFIKASI
	JURNAL SIGMATA \| LPPM AMIK SIGMA, 2021

[67]	Fusion-Based Machine Learning Architecture for Heart Disease Prediction.
	… , Materials & Continua, 2021

[68]	A New Multi-Agent Feature Wrapper Machine Learning Approach for Heart Disease Diagnosis.
	… Materials & Continua, 2021

[69]	Heart disease data classification using advanced data mining techniques
	2020

[70]	A Novel Risk Factor Analysis model for Heart Disease Classification and using Convolution Neural Network
	2020

[71]	Predicting The Risk Of Heart Disease Using Advanced Machine Learning Approach
	2020

[72]	Heart Disease Identification Method Using Machine Learning Classification in E-Healthcare
	2020

[73]	Heart Disease Prediction using Exploratory Data Analysis
	2020

[74]	Elimination of Irrelevant Features and Heart Disease Recognition by Employing Machine Learning Algorithms using Clinical Data
	2020

[75]	Application of Machine Learning for the Detection of Heart Disease
	2020

[76]	Towards comparing and using Machine Learning techniques for detecting and predicting Heart Attack and Diseases
	2019

[77]	Predicting the Heart Disease's using Machine Learning Techniques
	2019

[78]	Identifying the Predictive Capability of Machine Learning Classifiers for Designing Heart Disease Detection System
	2019

[79]	Effective Prediction On Heart Disease: Anticipating Heart Disease Using Data Mining Techniques
	2019

[80]	Heart Disease Detection: A Neural Networks Application
	2019

[81]	Heart Disease Prediction System Using Model Of Machine Learning and Sequential Backward Selection Algorithm for Features Selection
	2019

[82]	Assessing the effects of climate change on water quality of plateau deep-water lake-A study case of Hongfeng Lake
	Science of The Total Environment, 2019

[83]	Using Polynomial Neural Networks for Arabic Text Categorization
	2019

[84]	Arabic Text Classification: A review
	2019

[85]	Diagnosis of Heart Disease Using Neural Networks
	2018

[86]	Analysis of Neural Networks Based Heart Disease Prediction System
	2018

[87]	A Framework for “Just-in-Time Learning” Decision Support in Organizations
	International Journal of Decision Support System Technology (IJDSST), 2018

[88]	A Hybrid Intelligent System Framework for the Prediction of Heart Disease Using Machine Learning Algorithms
	2018

[89]	Enhancing Machine Learning Algorithms in Healthcare with Electronic Stethoscope
	2018

[90]	A Self-Learning Fuzzy Rule-based System for Risk-Level Assessment of Coronary Heart Disease
	IETE Journal of Research, 2018

[91]	TH-SOF-1264-IntelliHealth An intelligent medical decision support system using a novel multi-layer classifier ensemble framework based on enhanced bagging …
	2018

[92]	TH-SOF-1264-IntelliHealth An intelligent medical decision support system using a novel multi-layer classifier ensemble framework based on enhanced …
	2018

[93]	Neural Networks Application for Detecting Heart Disease
	2018

[94]	Research Article A Hybrid Intelligent System Framework for the Prediction of Heart Disease Using Machine Learning Algorithms
	2018

[95]	An Artificial Neural Network Based Pattern Classification Algorithm for Diagnosis of Heart Disease
	2017

[96]	A FAST CORRELATION FILTER BASED GRADIENT BOOSTING CLASSIFIER FOR DISEASE DIAGNOSIS.
	International Journal of Advanced Research in Computer Science, 2017

[97]	Pre-classification process symptom questionnaire based on fuzzy logic for pulmonary function test cost reduction
	CMBEBIH 2017, 2017

[98]	Optimal feature selection using a modified differential evolution algorithm and its effectiveness for prediction of heart disease
	Computers in Biology and Medicine, 2017

[99]	A FAST CORRELATION FILTER BASED GRADIENT BOOSTING CLASSIFIER FOR DISEASE DIAGNOSIS
	International Journal of Advanced Research in Computer Science, 2017

[100]	The Cardio Kinesiograph System
	Current Trends in Biomedical Engineering & Biosciences, 2017

[101]	An integrated decision support system based on ANN and Fuzzy_AHP for heart failure risk prediction
	Expert Systems with Applications, 2017

[102]	Real-Time Grain Commodities Price Predictions in South Africa: A Big Data and Neural Networks Approach
	Separation Science and Technology, 2016

[103]	A Framework for Grain Commodities Trading Decision Support for South African Maize Farmers
	2016

[104]	Analytical Study of Selected Classification Algorithms for Clinical Dataset
	2016

[105]	Multitude Classifier Using Rough Set Jelinek Mercer Naïve Bayes for Disease Diagnosis
	2016

[106]	Congenital Heart Septum Defect Diagnosis On Chest X-Ray Features Using Neural Networks
	2016

[107]	Многофакторное иерархическое нейросетевое распознавание заболеваний в урологии
	Рад?оелектронн? ? комп'ютерн? системи, 2016

[108]	DETECTING THE UROLOGIC DISEASES BY MEANS OF MULTIFACTORIAL HIERARCHIC NEURAL NETWORKS
	2016

[109]	IntelliHealth: An intelligent medical decision support system using a novel multi-layer classifier ensemble framework based on enhanced bagging approach …
	2016

[110]	IntelliHealth: An intelligent medical decision support system using a novel multi-layer classifier ensemble framework based on enhanced bagging …
	2016

[111]	The Effect of Pre-processing Techniques and Optimal Parameters in BPNN for Data Classification
	2015

[112]	The effect of pre-processing techniques and optimal parameters on BPNN for data classification
	2015

[113]	Neural network diagnosis of heart disease
	Advances in Biomedical Engineering (ICABME), 2015 International Conference on, 2015

[114]	Оценивание удельного расхода топлива по косвенным измерениям с учетом изменения технического состояния ГТД
	Авиационно-космическая техника и технология, 2013

[115]	Cardiovascular Disease Prediction Using Deep Learning Models Check for updates


[116]	International Journal of Advance Research in Engineering, Science & Technology


[117]	Heart Disease Identification Method Using Machine Learning Classification in E Healthcare


[118]	PERFORMANCE ANALYSIS OF HEART DISEASE PREDICTION


[119]	Cardiovascular Disease Prediction Using Risk Factors: A Comparative Performance Analysis of Machine Learning Models


[120]	Detection of Hepatomegaly by Automated-Diagnosis Method based on Artificial Neural Network


[121]	Predictive Methods For Heart Disease Using Bivariate Analysis

[1]	Intelligent Systems Lecture Notes in Networks and Systems, 2024 DOI:10.1007/978-981-99-3932-9_41

[2]	Data Science and Applications Lecture Notes in Networks and Systems, 2024 DOI:10.1007/978-981-99-7820-5_8

[3]	A Predictive Study of Machine Learning and Deep Learning Procedures Over Chronic Disease Datasets Journal of Artificial Intelligence, Machine Learning and Neural Network, 2024 DOI:10.55529/jaimlnn.42.34.47

[4]	A Look at the Diagnostic Capabilities of Machine Learning Algorithms with Regard to Heart Disease SSRN Electronic Journal, 2024 DOI:10.2139/ssrn.4831739

[5]	Future of AI in Biomedicine and Biotechnology Advances in Medical Diagnosis, Treatment, and Care, 2024 DOI:10.4018/979-8-3693-3629-8.ch009

[6]	Automated heart disease prediction using improved explainable learning-based technique Neural Computing and Applications, 2024 DOI:10.1007/s00521-024-09967-6

[7]	Performance Evaluation of Machine Learning Techniques (MLT) for Heart Disease Prediction Computational and Mathematical Methods in Medicine, 2023 DOI:10.1155/2023/8191261

[8]	AI-Doctor - A Machine Learning Aided Health Monitoring system by analyzing sound signals Proceedings of the 2023 International Conference on Frontiers of Artificial Intelligence and Machine Learning, 2023 DOI:10.1145/3616901.3616951

[9]	Enhanced extremely boosted neural network (EXBNet) for effective Heart Disease Prediction 2023 14th International Conference on Computing Communication and Networking Technologies (ICCCNT), 2023 DOI:10.1109/ICCCNT56998.2023.10307797

[10]	HypGB: High Accuracy GB Classifier for Predicting Heart Disease With HyperOpt HPO Framework and LASSO FS Method IEEE Access, 2023 DOI:10.1109/ACCESS.2023.3339225

[11]	Advance Machine Learning Based Optimal Heart Disease Prediction System 2023 2nd International Conference on Ambient Intelligence in Health Care (ICAIHC), 2023 DOI:10.1109/ICAIHC59020.2023.10431431

[12]	Cardiac disease prediction using AI algorithms with SelectKBest Medical & Biological Engineering & Computing, 2023 DOI:10.1007/s11517-023-02918-8

[13]	Analyses the Predictive Power of Machine Learning Procedures Over Multi Diseases Datasets 2023 3rd International Conference on Innovative Sustainable Computational Technologies (CISCT), 2023 DOI:10.1109/CISCT57197.2023.10351291

[14]	Performance Evaluation of Machine Learning Techniques (MLT) for Heart Disease Prediction Computational and Mathematical Methods in Medicine, 2023 DOI:10.1155/2023/8191261

[15]	Modern Electronics Devices and Communication Systems Lecture Notes in Electrical Engineering, 2023 DOI:10.1007/978-981-19-6383-4_43

[16]	Predicting the Cardiac Diseases using SelectKBest Method Equipped Light Gradient Boosting Machine 2022 6th International Conference on Trends in Electronics and Informatics (ICOEI), 2022 DOI:10.1109/ICOEI53556.2022.9777224

[17]	Incorporating CNN Features for Optimizing Performance of Ensemble Classifier for Cardiovascular Disease Prediction Diagnostics, 2022 DOI:10.3390/diagnostics12061474

[18]	Deep Learning for Targeted Treatments 2022 DOI:10.1002/9781119857983.ch12

[19]	Improving heart disease prediction using multi-tier ensemble model Network Modeling Analysis in Health Informatics and Bioinformatics, 2022 DOI:10.1007/s13721-022-00381-3

[20]	Improving heart disease prediction using multi-tier ensemble model Network Modeling Analysis in Health Informatics and Bioinformatics, 2022 DOI:10.1007/s13721-022-00381-3

[21]	A Comparative Analysis of Intelligent Machine Learning for Cardiovascular Disease Classification 2022 International Conference on Intelligent Technology, System and Service for Internet of Everything (ITSS-IoE), 2022 DOI:10.1109/ITSS-IoE56359.2022.9990961

[22]	International Conference on Innovative Computing and Communications Advances in Intelligent Systems and Computing, 2022 DOI:10.1007/978-981-16-3071-2_2

[23]	A Method for Improving Prediction of Human Heart Disease Using Machine Learning Algorithms Mobile Information Systems, 2022 DOI:10.1155/2022/1410169

[24]	Informatics and Intelligent Applications Communications in Computer and Information Science, 2022 DOI:10.1007/978-3-030-95630-1_3

[25]	Machine Learning and Deep Neural Network Techniques for Heart Disease Prediction 2022 25th International Conference on Computer and Information Technology (ICCIT), 2022 DOI:10.1109/ICCIT57492.2022.10055902

[26]	Comparative Analysis of Naive Bayes, K-Nearest Neighbors (KNN), and Support Vector Machine (SVM) Algorithms for Classification of Heart Disease Patients Jurnal Online Informatika, 2022 DOI:10.15575/join.v7i2.919

[27]	A Comparative Analysis of Intelligent Machine Learning for Cardiovascular Disease Classification 2022 International Conference on Intelligent Technology, System and Service for Internet of Everything (ITSS-IoE), 2022 DOI:10.1109/ITSS-IoE56359.2022.9990961

[28]	A New Multi-Agent Feature Wrapper Machine Learning Approach for Heart Disease Diagnosis Computers, Materials & Continua, 2021 DOI:10.32604/cmc.2021.012632

[29]	A Hybridized Model for the Prediction of Heart Disease using ML Algorithms 2021 3rd International Conference on Advances in Computing, Communication Control and Networking (ICAC3N), 2021 DOI:10.1109/ICAC3N53548.2021.9725780

[30]	EMPLOYABILITY OF THE MACHINE LEARNING ALGORITHMS IN THE EARLY DETECTION AND DIAGNOSIS OF CARDIOVASCULAR DISEASES International Journal of Research in Medical Sciences & Technology, 2021 DOI:10.37648/ijrmst.v11i02.016

[31]	Deep Convolutional Neural Network Feed Forward and Back Prop a gation (DCNN F BP) Algorithm f or Predicting Heart Disease u sing Internet o f Things International Journal of Engineering and Advanced Technology, 2021 DOI:10.35940/ijeat.A3212.1011121

[32]	Deep Learning Methods in Internet of Medical Things for Valvular Heart Disease Screening System IEEE Internet of Things Journal, 2021 DOI:10.1109/JIOT.2021.3053420

[33]	Fusion-Based Machine Learning Architecture for Heart Disease Prediction Computers, Materials & Continua, 2021 DOI:10.32604/cmc.2021.014649

[34]	Efficient Prediction of Cardiovascular Disease Using Machine Learning Algorithms With Relief and LASSO Feature Selection Techniques IEEE Access, 2021 DOI:10.1109/ACCESS.2021.3053759

[35]	An Enhanced Novel Dynamic Data Processing (ENDDP) Algorithm for Predicting Heart Disease in Machine Learning International Journal of Scientific Research in Computer Science, Engineering and Information Technology, 2021 DOI:10.32628/CSEIT206429

[36]	Application of Machine Learning for the Detection of Heart Disease 2020 2nd International Conference on Innovative Mechanisms for Industry Applications (ICIMIA), 2020 DOI:10.1109/ICIMIA48430.2020.9074954

[37]	Heart Disease Identification Method Using Machine Learning Classification in E-Healthcare IEEE Access, 2020 DOI:10.1109/ACCESS.2020.3001149

[38]	Heart Disease Prediction using Exploratory Data Analysis Procedia Computer Science, 2020 DOI:10.1016/j.procs.2020.06.017

[39]	Research Anthology on Artificial Intelligence Applications in Security 2020 DOI:10.4018/978-1-7998-7705-9.ch022

[40]	Elimination of Irrelevant Features and Heart Disease Recognition by Employing Machine Learning Algorithms using Clinical Data 2020 17th International Computer Conference on Wavelet Active Media Technology and Information Processing (ICCWAMTIP), 2020 DOI:10.1109/ICCWAMTIP51612.2020.9317351

[41]	Towards comparing and using Machine Learning techniques for detecting and predicting Heart Attack and Diseases 2019 IEEE International Conference on Big Data (Big Data), 2019 DOI:10.1109/BigData47090.2019.9005488

[42]	Assessing the effects of climate change on water quality of plateau deep-water lake - A study case of Hongfeng Lake Science of The Total Environment, 2019 DOI:10.1016/j.scitotenv.2018.08.031

[43]	Predicting the Heart Disease's using Machine Learning Techniques International Journal of Scientific Research in Computer Science, Engineering and Information Technology, 2019 DOI:10.32628/CSEIT195420

[44]	Effective Prediction On Heart Disease: Anticipating Heart Disease Using Data Mining Techniques 2019 International Conference on Smart Systems and Inventive Technology (ICSSIT), 2019 DOI:10.1109/ICSSIT46314.2019.8987776

[45]	Heart Disease Prediction System Using Model Of Machine Learning and Sequential Backward Selection Algorithm for Features Selection 2019 IEEE 5th International Conference for Convergence in Technology (I2CT), 2019 DOI:10.1109/I2CT45611.2019.9033683

[46]	Identifying the Predictive Capability of Machine Learning Classifiers for Designing Heart Disease Detection System 2019 16th International Computer Conference on Wavelet Active Media Technology and Information Processing, 2019 DOI:10.1109/ICCWAMTIP47768.2019.9067519

[47]	A Hybrid Intelligent System Framework for the Prediction of Heart Disease Using Machine Learning Algorithms Mobile Information Systems, 2018 DOI:10.1155/2018/3860146

[48]	NEURAL NETWORKS APPLICATION FOR DETECTING HEART DISEASE i-manager's Journal on Information Technology, 2018 DOI:10.26634/jit.7.3.14409

[49]	Analysis of Neural Networks Based Heart Disease Prediction System 2018 11th International Conference on Human System Interaction (HSI), 2018 DOI:10.1109/HSI.2018.8431153

[50]	A Framework for “Just-in-Time Learning” Decision Support in Organizations International Journal of Decision Support System Technology, 2018 DOI:10.4018/IJDSST.2018100103

[51]	An Artificial Neural Network Based Pattern Classification Algorithm for Diagnosis of Heart Disease 2017 International Conference on Computing, Communication, Control and Automation (ICCUBEA), 2017 DOI:10.1109/ICCUBEA.2017.8463729

[52]	An integrated decision support system based on ANN and Fuzzy_AHP for heart failure risk prediction Expert Systems with Applications, 2017 DOI:10.1016/j.eswa.2016.10.020

[53]	Multitude Classifier Using Rough Set Jelinek Mercer Naïve Bayes for Disease Diagnosis Circuits and Systems, 2016 DOI:10.4236/cs.2016.76059

[54]	Congenital Heart Septum Defect Diagnosis on Chest X-Ray Features Using Neural Networks 2016 Second International Conference on Computational Intelligence & Communication Technology (CICT), 2016 DOI:10.1109/CICT.2016.59

[55]	Real-Time Grain Commodities Price Predictions in South Africa: A Big Data and Neural Networks Approach Agrekon, 2016 DOI:10.1080/03031853.2016.1243060

[56]	Neural network diagnosis of heart disease 2015 International Conference on Advances in Biomedical Engineering (ICABME), 2015 DOI:10.1109/ICABME.2015.7323241

Follow SCIRP

	customer@scirp.org
	+86 18163351462(WhatsApp)
	1655362766

	Paper Publishing WeChat

Journal of Intelligent Learning Systems and Applications

Journal of Intelligent Learning Systems and Applications

Journals Menu

Home

About SCIRP

Service

Policies