[1]
|
Heart disease prediction based on pre-trained deep neural networks combined with principal component analysis
|
|
Biomedical Signal Processing and …,
2023 |
|
|
[2]
|
Optimum parametreler yardımıyla performansı artırılmış KNN algoritması tabanlı kalp hastalığı tahmini
|
|
Gazi Üniversitesi Mühendislik Mimarlık Fakültesi …,
2023 |
|
|
[3]
|
Performance-enhanced KNN algorithm-based heart disease prediction with the help of optimum parameters
|
|
Journal of the Faculty of Engineering and Architecture …,
2023 |
|
|
[4]
|
Study of Fuzzy and Artificial Neural Network (ANN) Based Techniques to Diagnose Heart Disease
|
|
Journal of …,
2022 |
|
|
[5]
|
Novel Implementation of Cardio-vascular disease (CVD) using machine learning techniques
|
|
2022 |
|
|
[6]
|
A comparative study of classification and prediction of Cardio-Vascular Diseases (CVD) using Machine Learning and Deep Learning techniques
|
|
ICT Express,
2022 |
|
|
[7]
|
Detection of Heart Disease Utilising a Feature Fusion Technique and Machine Learning-Augmented Classification
|
|
SN Computer Science,
2022 |
|
|
[8]
|
A novel fermatean fuzzy analytic hierarchy process proposition and its usage for supplier selection problem in industry 4.0 transition
|
|
q-Rung Orthopair Fuzzy Sets,
2022 |
|
|
[9]
|
Neural Fuzzy Hybrid Rule-Based Inference System with Test Cases for Prediction of Heart Attack Probability
|
|
Mathematical …,
2022 |
|
|
[10]
|
Cardiac disease detection using cuckoo search enabled deep belief network
|
|
Intelligent Systems with Applications,
2022 |
|
|
[11]
|
Coronary artery disease classification from clinical heart disease features using deep neural network
|
|
International Journal of …,
2022 |
|
|
[12]
|
Examination of Health Data Depending on Creative Use of Optimization Methods and Machine Learning Algorithms
|
|
Next Generation Healthcare Informatics,
2022 |
|
|
[13]
|
An Efficient Detection System For Cardio Vascular Disease Using Machine Learning Algorithms
|
|
2022 2nd …,
2022 |
|
|
[14]
|
Failure Assessment of Pipelines Due to Microbiologically Influenced Corrosion
|
|
2022 |
|
|
[15]
|
A Review of Role of Machine Learning Models in Coronary Heart Disease Detection Accuracy
|
|
Indian Journal …,
2022 |
|
|
[16]
|
Heart disease prediction system
|
|
2022 |
|
|
[17]
|
Automated Diagnosis of Heart Disease Using Artificial Intelligence
|
|
Empowering Artificial …,
2022 |
|
|
[18]
|
Artificial intelligence-based clinical classification of diseases: Utilizing gut microbiota as a feature for supervised learning and diagnostic screening of inflammatory …
|
|
2021 |
|
|
[19]
|
Application of Artificial Intelligence/Machine Learning for Cardiovascular Diseases
|
|
2021 |
|
|
[20]
|
Monitoring of Kidney Functions, Electrolytes and Volemia Analyzed by Application Example of Artificial Intelligence in Patients with Heart Failure
|
|
2021 |
|
|
[21]
|
Master of Science in Biomedical Science Degree in Bioinformatics, Proteomics, and Genomics
|
|
2021 |
|
|
[22]
|
Expert systems: Definitions, advantages and issues in medical field applications
|
|
Expert Systems with Applications,
2021 |
|
|
[23]
|
Improving the Accuracy for Analyzing Heart Diseases Prediction Based on the Ensemble Method
|
|
2021 |
|
|
[24]
|
Heart Disease Prediction System Using Machine Learning Algorithm
|
|
2021 |
|
|
[25]
|
Efficient heart disease diagnosis based on twin support vector machine
|
|
2021 |
|
|
[26]
|
Hybrid technique for heart diseases diagnosis based on convolution neural network and long short-term memory
|
|
2021 |
|
|
[27]
|
An Effective Analytics using Machine Learning Integrated Approaches for Diagnosis, Severity Estimation andPrediction of Heart Disease
|
|
2021 |
|
|
[28]
|
Application of Artificial Intelligence Tools in Classification and Diagnosis of Heart Disease: General Review
|
|
2021 |
|
|
[29]
|
Ensemble Based Hybrid Variable Selection Method for Heart Disease Classification
|
|
2021 |
|
|
[30]
|
Neuro-fuzzy Approach for Prediction of Neurological Disorders: A Systematic Review
|
|
2021 |
|
|
[31]
|
Fusion-Based Machine Learning Architecture for Heart Disease Prediction
|
|
2021 |
|
|
[32]
|
Нечеткие логические выводы и заключения в экспертных системах медицинской диагностики
|
|
System research and information technologies,
2021 |
|
|
[33]
|
Кластерный анализ для многомерных объектов в условиях нечетких данных
|
|
System research and information technologies,
2021 |
|
|
[34]
|
An efficient Prediction System for Heart Disease based on Twin Support Vector Machine
|
|
International Journal of …,
2021 |
|
|
[35]
|
Investigation on the capabilities of ANFIS for the detection of Ischemic Stroke
|
|
2021 IEEE 4th …,
2021 |
|
|
[36]
|
CMBEBIH 2021
|
|
2020 |
|
|
[37]
|
Automatic Healthcare Diagnosis and Prediction Assessment based on AI Multi-Classification Algorithm
|
|
2020 |
|
|
[38]
|
Enhanced sparse matrix approach in neural network algorithm for an effective intelligent classification system
|
|
2020 |
|
|
[39]
|
Improve the Accuracy of Heart Disease Predictions Using Machine Learning and Feature Selection Techniques
|
|
2020 |
|
|
[40]
|
AI Techniques in Early Prediction of Heart Stroke
|
|
2020 |
|
|
[41]
|
RESEARCH ON MACHINE LEARNING ALGORITHM ON HEART DISEASE PREDICTION
|
|
2020 |
|
|
[42]
|
An optimized XGBoost based diagnostic system for effective prediction of heart disease
|
|
Journal of King Saud University …,
2020 |
|
|
[43]
|
Heart Disease prediction using MLP and LSTM models
|
|
2020 |
|
|
[44]
|
A fuzzy mobile decision support system for diagnosing of the angiographic status of heart disease
|
|
2020 |
|
|
[45]
|
Sparse Matrix Approach in Neural Networks for Effective Medical Data Sets Classifications
|
|
2020 |
|
|
[46]
|
An Approach Based on Mutually Informed Neural Networks to Optimize the Generalization Capabilities of Decision Support Systems Developed for Heart Failure …
|
|
2020 |
|
|
[47]
|
Neighborhood Component Analysis and Support Vector Machines for Heart Disease Prediction.
|
|
2019 |
|
|
[48]
|
Comparison of different machine learning models on feature extraction for human activity recognition from RGB-depth datasets
|
|
2019 |
|
|
[49]
|
Diagnosis of Heart Disease Using an Intelligent Method: A Hybrid ANN–GA Approach
|
|
2019 |
|
|
[50]
|
A Comparison of Machine Learning Techniques to Predict the Risk of Heart Failure
|
|
2019 |
|
|
[51]
|
A Novel NLP-FUZZY System Prototype for Information Extraction from Medical Guidelines
|
|
2019 |
|
|
[52]
|
An Automated Diagnostic System for Heart Disease Prediction Based on Statistical Model and Optimally Configured Deep Neural Network
|
|
2019 |
|
|
[53]
|
An Expert System Based on Optimized Stacked Support Vector Machines for Effective Diagnosis of Heart Disease
|
|
2019 |
|
|
[54]
|
Estimation of fines amount in syariah criminal offences using adaptive neuro-fuzzy inference system (ANFIS) enhanced with analytic hierarchy process (AHP).
|
|
2019 |
|
|
[55]
|
A Survey on Risk Assessments of Heart Attack Using Data Mining Approaches
|
|
International Journal of Information Engineering and Electronic Business(IJIEEB),
2019 |
|
|
[56]
|
An Optimized Stacked Support Vector Machines Based Expert System for the Effective Prediction of Heart Failure
|
|
2019 |
|
|
[57]
|
State-of-the-Art Artificial Intelligence Techniques in Heart Disease Diagnosis
|
|
2019 |
|
|
[58]
|
Machine Learning Algorithms for Early Prediction of Heart Disease
|
|
2019 |
|
|
[59]
|
Prediction of Heart Disease Using Multi-Layer Perceptron Neural Network and Support Vector Machine
|
|
2019 |
|
|
[60]
|
Estimation of fines amount in syariah criminal offences using adaptive neuro-fuzzy inference system (ANFIS) enhanced with analytic hierarchy process (AHP)
|
|
2019 |
|
|
[61]
|
Neighborhood Component Analysis and Support Vector Machines for Heart Disease Prediction
|
|
Ingénierie des Systèmes d’Information,
2019 |
|
|
[62]
|
An Intelligent Learning System Based on Random Search Algorithm and Optimized Random Forest Model for Improved Heart Disease Detection
|
|
2019 |
|
|
[63]
|
Kalp hastalıklarında kullanılan yapay zeka teknikleri ve uygulamaları
|
|
2019 |
|
|
[64]
|
An Expert System Based
|
|
2019 |
|
|
[65]
|
Kalp Hastaliklarinda Kullanilan Yapay Zekâ Tekni̇kleri̇ ve Uygulamalari
|
|
2019 |
|
|
[66]
|
Role of Low-Density Lipoprotein & Triglycerides in Diagnosis of Cardiac Disorders Using Machine Learning
|
|
International Journal of Scientific Research in Computer Science Applications and Management Studies,
2018 |
|
|
[67]
|
Proficient Prognosis of Cardiac Disorders using Machine Learning, Low-Density Lipoprotein &Triglycerides
|
|
International Journal for Research in Applied Science and Engineering Technology,
2018 |
|
|
[68]
|
Enhancement in Diagnosis of Coronary Artery Disease using Fuzzy Expert System
|
|
2018 |
|
|
[69]
|
Neuro-Fuzzy Based Medical Decision Support System for Coronary Artery Disease Diagnosis and Risk Level Prediction
|
|
Journal of Computational and Theoretical Nanoscience,
2018 |
|
|
[70]
|
Cardio Vascular Disease Diagnosis Using Data Mining Techniques and ANFIS Approach
|
|
2018 |
|
|
[71]
|
Amended fused TOPSIS-VIKOR for classification (ATOVIC) applied to some UCI data sets
|
|
Expert Systems with Applications,
2018 |
|
|
[72]
|
Supervised Learning Technique for Prediction of Diseases
|
|
Intelligent Communication, Control and Devices,
2018 |
|
|
[73]
|
A Self-Learning Fuzzy Rule-based System for Risk-Level Assessment of Coronary Heart Disease
|
|
IETE Journal of Research,
2018 |
|
|
[74]
|
A novel hybrid decision support system for thyroid disease forecasting
|
|
Soft Computing,
2018 |
|
|
[75]
|
Swipe to navigate through the articles of this issue
|
|
2018 |
|
|
[76]
|
FPGA Design and Hardware Implementation of Heart Disease Diagnosis System Based on NVG-RAM Classifier
|
|
2018 |
|
|
[77]
|
Effective Diagnosis Of Heart Disease Presence Using Artificial Neural Networks
|
|
2017 |
|
|
[78]
|
Heart Diseases Diagnosis Using Artificial Neural Networks
|
|
2017 |
|
|
[79]
|
Heart Disease Diagnosis System based on Multi-Layer Perceptron neural network and Support Vector Machine
|
|
2017 |
|
|
[80]
|
Mathematical modelling and a systems science approach to describe the role of cytokines in the evolution of severe dengue
|
|
2017 |
|
|
[81]
|
A medical decision support system for disease diagnosis under uncertainty
|
|
Expert Systems with Applications,
2017 |
|
|
[82]
|
A FAST CORRELATION FILTER BASED GRADIENT BOOSTING CLASSIFIER FOR DISEASE DIAGNOSIS.
|
|
International Journal of Advanced Research in Computer Science,
2017 |
|
|
[83]
|
Automatic screening of cardiac disorders using wavelet analysis of heart sound
|
|
2017 |
|
|
[84]
|
INTRODUCING A DECISION SUPPORT SYSTEM FOR MULTIPLE SCLEROSIS BASED ON POSTURAL TREMOR: A HOPE FOR SEPARATION OF PEOPLE WHO …
|
|
Biomedical Engineering: Applications, Basis and Communications,
2017 |
|
|
[85]
|
Adaptiver Neuro-Fuzzy-Ansatz zur Diagnose
|
|
Thesis,
2017 |
|
|
[86]
|
Risk level prediction of chronic kidney disease using neuro-fuzzy and hierarchical clustering algorithm (s)
|
|
2017 |
|
|
[87]
|
OH ionic liquid catalyzed efficient synthesis of Polyhydroquinolines derivatives via Hantzsch reaction as green approach.
|
|
Journal of Basic and …,
2016 |
|
|
[88]
|
RECENT TRENDS IN DISEASE DIAGNOSIS USING SOFT COMPUTING TECHNIQUES: A REVIEW
|
|
2016 |
|
|
[89]
|
An Intelligent Diagnosis Flu System Based on Adaptive Neuro-Fuzzy Classifer
|
|
2015 |
|
|
[90]
|
Using Decision Trees in Data Mining for Predicting Factors Influencing of Heart Disease
|
|
Carpathian Journal of Electronic & Computer Engineering,
2015 |
|
|
[91]
|
Work-in-progress: An intelligent diagnosis influenza system based on adaptive neuro-fuzzy inference system
|
|
Industrial Networks and Intelligent Systems (INISCom), 2015 1st International Conference on,
2015 |
|
|
[92]
|
A Web Based Fuzzy Expert System for Human Disease Diagnosis
|
|
International Journal Of Engineering And Computer Science,
2015 |
|
|
[93]
|
A Web Based Fuzzy Expert System for Epistaxis Diagnosis
|
|
International Journal of Computer Science and Information Technologies,
2015 |
|
|
[94]
|
Using Decision Trees in Data Mining for Predicting Factors Influencing of Heart Disease.
|
|
2015 |
|
|
[95]
|
Application of Artificial Intelligence in Cardiovascular Medicine
|
|
Comprehensive …,
2011 |
|
|
[96]
|
Neighborhood Component Analysis and Support Vector Machines for Heart Disease Prediction Neighborhood Component Analysis and Support Vector …
|
|
1959 |
|
|
[97]
|
ECG signal Classification using Machine Learning Techniques
|
|
|
|
|
[98]
|
A Review on Role of Machine Learning Models on Coronary Heart Disease Detection Accuracy
|
|
|
|
|
[99]
|
Sparse Matrix Approach in Neural Networks for Effective Medical Data Sets
|
|
|
|
|
[100]
|
Predict the Chances of Heart Abnormality in Diabetic Patients Through Machine Learning
|
|
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