Heart Disease Detection by Using Machine Learning Algorithms and a Real-Time Cardiovascular Health Monitoring System

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World Journal of Engineering and Technology

ISSN Print: 2331-4222
ISSN Online: 2331-4249
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"Heart Disease Detection by Using Machine Learning Algorithms and a Real-Time Cardiovascular Health Monitoring System"
written by Shadman Nashif, Md. Rakib Raihan, Md. Rasedul Islam, Mohammad Hasan Imam,
published by World Journal of Engineering and Technology, Vol.6 No.4, 2018

has been cited by the following article(s):

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[40]	Investigations on cardiovascular diseases and predicting using machine learning algorithms Cogent Engineering, 2024 DOI:10.1080/23311916.2024.2386381

[41]	Towards Proactive Measures and Unbiased Early Detection in Cardiovascular Healthcare 2024 IEEE 12th Region 10 Humanitarian Technology Conference (R10-HTC), 2024 DOI:10.1109/R10-HTC59322.2024.10778883

[42]	Probable Risk Factors of Heart Disease with Accuracy Performance by Various Machine Learning Approaches 2024 4th International Conference on Sustainable Expert Systems (ICSES), 2024 DOI:10.1109/ICSES63445.2024.10763081

[43]	Techno-societal 2022 2024 DOI:10.1007/978-3-031-34644-6_37

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[49]	An Intelligent Diagnosis System for Predicting Coronary Heart Disease 2024 10th International Conference on Artificial Intelligence and Robotics (QICAR), 2024 DOI:10.1109/QICAR61538.2024.10496601

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[61]	Optimized Classification of Cardiovascular Disease Using Machine Learning Paradigms VFAST Transactions on Software Engineering, 2023 DOI:10.21015/vtse.v11i2.1527

[62]	Predictis: an IoT and machine learning-based system to predict risk level of cardio-vascular diseases BMC Health Services Research, 2023 DOI:10.1186/s12913-023-09104-4

[63]	Performance Analysis of Base and Meta Classifiers and the Prediction of Cardiovascular Disease using Ensemble Stacking 2023 International Conference on Intelligent Data Communication Technologies and Internet of Things (IDCIoT), 2023 DOI:10.1109/IDCIoT56793.2023.10053464

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[66]	Heart Disease Detection using Hybrid Machine Learning and IoT (Software Based) Journal of Artificial Intelligence, Machine Learning and Neural Network, 2023 DOI:10.55529/jaimlnn.33.10.13

[67]	Computer Vision and Robotics Algorithms for Intelligent Systems, 2023 DOI:10.1007/978-981-19-7892-0_16

[68]	“An Detection of Cardiovascular Disease using Deep Learning” 2023 International Conference on Emerging Smart Computing and Informatics (ESCI), 2023 DOI:10.1109/ESCI56872.2023.10100090

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[74]	Review On Cardiovascular Disease Prediction Using Machine Learning Algorithm 2023 International Conference on Computer Communication and Informatics (ICCCI), 2023 DOI:10.1109/ICCCI56745.2023.10128403

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[77]	Fog-Based Smart Cardiovascular Disease Prediction System Powered by Modified Gated Recurrent Unit Diagnostics, 2023 DOI:10.3390/diagnostics13122071

[78]	Predicting the Myocardial Infarction from Predictive Analytics Through Supervised Machine Learning SN Computer Science, 2023 DOI:10.1007/s42979-023-01775-4

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[81]	A study on prediction of heart disease using machine learning techniques 4TH INTERNATIONAL SCIENTIFIC CONFERENCE OF ENGINEERING SCIENCES AND ADVANCES TECHNOLOGIES, 2023 DOI:10.1063/5.0118332

[82]	Implementation of Machine Learning Approach for Detecting Cardiovascular Diseases 2023 3rd International Conference on Intelligent Technologies (CONIT), 2023 DOI:10.1109/CONIT59222.2023.10205893

[83]	Hybrid optimization enabled deep learning-based ensemble classification for heart disease detection Signal, Image and Video Processing, 2023 DOI:10.1007/s11760-023-02656-2

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[85]	A study of Cardiovascular disease Risk factors using ML techniques 2023 Global Conference on Information Technologies and Communications (GCITC), 2023 DOI:10.1109/GCITC60406.2023.10426278

[86]	An efficient transfer learning approach for prediction and classification of SARS – COVID -19 Multimedia Tools and Applications, 2023 DOI:10.1007/s11042-023-17086-y

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[88]	Improved ECG heartbeat classification based on 1-D convolutional neural networks Multimedia Tools and Applications, 2023 DOI:10.1007/s11042-023-17619-5

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[92]	“An Detection of Cardiovascular Disease using Deep Learning” 2023 International Conference on Emerging Smart Computing and Informatics (ESCI), 2023 DOI:10.1109/ESCI56872.2023.10100090

[93]	Detection of Cardiovascular Disease Using Machine Learning Algorithms and Principal Component Analysis 2023 15th International Congress on Advanced Applied Informatics Winter (IIAI-AAI-Winter), 2023 DOI:10.1109/IIAI-AAI-Winter61682.2023.00042

[94]	“An Detection of Cardiovascular Disease using Deep Learning” 2023 International Conference on Emerging Smart Computing and Informatics (ESCI), 2023 DOI:10.1109/ESCI56872.2023.10100090

[95]	Cardiac disease detection and analysis – a Machine Learning based approach 2023 2nd International Conference for Innovation in Technology (INOCON), 2023 DOI:10.1109/INOCON57975.2023.10101078

[96]	Heart Disease Prediction using Machine Learning 2023 9th International Conference on Signal Processing and Communication (ICSC), 2023 DOI:10.1109/ICSC60394.2023.10441292

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[143]	Enhanced Heart Rate Prediction Model Using Damped Least-Squares Algorithm Sensors, 2022 DOI:10.3390/s22249679

[144]	Prediction of Cardiovascular Disease on Self-Augmented Datasets of Heart Patients Using Multiple Machine Learning Models Journal of Sensors, 2022 DOI:10.1155/2022/3730303

[145]	An RHMIoT Framework for Cardiovascular Disease Prediction and Severity Level Using Machine Learning and Deep Learning Algorithms International Journal of Ambient Computing and Intelligence, 2022 DOI:10.4018/IJACI.311062

[146]	Survey of Recent Applications of Artificial Intelligence for Detection and Analysis of COVID-19 and Other Infectious Diseases International Journal of Artificial Intelligence and Machine Learning, 2022 DOI:10.4018/IJAIML.313574

[147]	Beat: Heart Monitoring Application 2022 IEEE 8th International Conference on Computing, Engineering and Design (ICCED), 2022 DOI:10.1109/ICCED56140.2022.10010370

[148]	Artificial intelligence in disease diagnosis: a systematic literature review, synthesizing framework and future research agenda Journal of Ambient Intelligence and Humanized Computing, 2022 DOI:10.1007/s12652-021-03612-z

[149]	Analysis of Coagulation Effect in Veins using MEMS Laminar Flow for Early Heart Stroke Detection 2022 International Conference on Automation, Computing and Renewable Systems (ICACRS), 2022 DOI:10.1109/ICACRS55517.2022.10029270

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[153]	Machine Learning and the Internet of Medical Things in Healthcare 2021 DOI:10.1016/B978-0-12-821229-5.00011-2

[154]	Cloud-Scope: A Modern Patient Monitoring and Analysis System 2021 5th International Conference on Computing Methodologies and Communication (ICCMC), 2021 DOI:10.1109/ICCMC51019.2021.9418292

[155]	A new smart healthcare framework for real-time heart disease detection based on deep and machine learning PeerJ Computer Science, 2021 DOI:10.7717/peerj-cs.646

[156]	Research Progress of Deep Learning in the Diagnosis and Prevention of Stroke BioMed Research International, 2021 DOI:10.1155/2021/5213550

[157]	A Compassion of Three Data Miming Algorithms for Heart Disease Prediction 2021 IEEE Symposium on Industrial Electronics & Applications (ISIEA), 2021 DOI:10.1109/ISIEA51897.2021.9509985

[158]	Ambient assisted living predictive model for cardiovascular disease prediction using supervised learning Evolutionary Intelligence, 2021 DOI:10.1007/s12065-020-00484-8

[159]	Hybrid Approach for Predicting Heart Failure using Machine Learning 2021 2nd Global Conference for Advancement in Technology (GCAT), 2021 DOI:10.1109/GCAT52182.2021.9587466

[160]	Analysis Of Heart Risk Detection In Machine Learning Using Blockchain 2021 6th International Conference on Signal Processing, Computing and Control (ISPCC), 2021 DOI:10.1109/ISPCC53510.2021.9609353

[161]	An accurate fuzzy rule-based classification systems for heart disease diagnosis Scientific African, 2021 DOI:10.1016/j.sciaf.2021.e01019

[162]	[Retracted] Research Progress of Deep Learning in the Diagnosis and Prevention of Stroke BioMed Research International, 2021 DOI:10.1155/2021/5213550

[163]	An Efficient IoT-Based Patient Monitoring and Heart Disease Prediction System Using Deep Learning Modified Neural Network IEEE Access, 2020 DOI:10.1109/ACCESS.2020.3007561

[164]	Particle Swarm Optimization Feature Selection for Breast Cancer Prediction 2020 8th International Conference on Cyber and IT Service Management (CITSM), 2020 DOI:10.1109/CITSM50537.2020.9268865

[165]	An Integrated Framework for Predicting Health Based on Sensor Data Using Machine Learning 2020 2nd International Conference on Advancements in Computing (ICAC), 2020 DOI:10.1109/ICAC51239.2020.9357134

[166]	Heart Arrhythmia Detection & Monitoring Using Machine Learning & ECG Wearable Device 2020 Seventh International Conference on Information Technology Trends (ITT), 2020 DOI:10.1109/ITT51279.2020.9320881

[167]	Utilizing IoT wearable medical device for heart disease prediction using higher order Boltzmann model: A classification approach Measurement, 2019 DOI:10.1016/j.measurement.2019.07.043

[168]	Smart Health Lecture Notes in Computer Science, 2019 DOI:10.1007/978-3-030-34482-5_22

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