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Analysis of long term water quality variations driven by multiple factors in a typical basin of Beijing-Tianjin-Hebei region combined with neural networks
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A Method for Improving Prediction of Human Heart Disease Using Machine Learning Algorithms
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Mobile Information …,
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Intelligent Framework for Prediction of Heart Disease using Deep Learning
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Arabian Journal for …,
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Improving heart disease prediction using multi-tier ensemble model
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Cardiovascular Disease Prediction Using Deep Neural Network for Older People
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Predicting the Cardiac Diseases using SelectKBest Method Equipped Light Gradient Boosting Machine
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Health Seek: A Deep Learning-Based Intelligent System to Aid Medical Diagnosis
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Heart Disease Prediction: A Comparative Study Based on a Machine-Learning Approach
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Study of Various Classification Approaches including Deep Learning in Heart Disease Prediction
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A Deep Learning and Multilayer Neural Network Approach for Coronary Heart Disease Detection
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Developing Risk Level Prediction Model and Clinical Decision Support System for Cardiovascular Diseases in Ethiopia
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2022 |
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Prediction of Cardiovascular Disease using Machine Learning Algorithms with Relief and Lasso Feature Selection Techniques
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Machine Learning Based Diagnosis System for Easy and Fast Heart Disease Prediction
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DETECTION OF HEART DISEASES USING DATA MINING TECHNIQUES
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2021 |
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Optimized Random Forest Algorithm with Parameter Tuning for Predicting Heart Disease
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2021 |
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A Hybridized Model for the Prediction of Heart Disease using ML Algorithms
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Heart disease classification comparison among patients and normal subjects using machine learning and artificial neural network techniques
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International Journal of …,
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Fusion-Based Machine Learning Architecture for Heart Disease Prediction
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2021 |
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Deep learning methods in internet of medical things for valvular heart disease screening system
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IEEE Internet of Things Journal,
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International Journal of Engineering,
2021 |
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Identification of Heart Disease Using Fs Algorithm
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2021 |
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Diagnosing of disease using machine learning
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2021 |
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Efficient Prediction of Cardiovascular Disease Using Machine Learning Algorithms With Relief and LASSO Feature Selection Techniques
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2021 |
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A new multi-agent feature wrapper machine learning approach for heart disease diagnosis
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2021 |
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Earlier Detection of Diabetes using Machine Learning
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2021 |
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A Novel Risk Factor Analysis model for Heart Disease Classification and using Convolution Neural Network
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2020 |
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Predicting The Risk Of Heart Disease Using Advanced Machine Learning Approach
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Heart Disease Identification Method Using Machine Learning Classification in E-Healthcare
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2020 |
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Heart Disease Prediction using Exploratory Data Analysis
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2020 |
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Elimination of Irrelevant Features and Heart Disease Recognition by Employing Machine Learning Algorithms using Clinical Data
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2020 |
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Application of Machine Learning for the Detection of Heart Disease
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Heart disease data classification using advanced data mining techniques
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2020 |
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Predicting the Heart Disease's using Machine Learning Techniques
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Identifying the Predictive Capability of Machine Learning Classifiers for Designing Heart Disease Detection System
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Effective Prediction On Heart Disease: Anticipating Heart Disease Using Data Mining Techniques
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Heart Disease Detection: A Neural Networks Application
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Heart Disease Prediction System Using Model Of Machine Learning and Sequential Backward Selection Algorithm for Features Selection
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Assessing the effects of climate change on water quality of plateau deep-water lake-A study case of Hongfeng Lake
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Science of The Total Environment,
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Using Polynomial Neural Networks for Arabic Text Categorization
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Diagnosis of Heart Disease Using Neural Networks
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Analysis of Neural Networks Based Heart Disease Prediction System
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2018 |
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A Framework for “Just-in-Time Learning” Decision Support in Organizations
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International Journal of Decision Support System Technology (IJDSST),
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A Hybrid Intelligent System Framework for the Prediction of Heart Disease Using Machine Learning Algorithms
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Enhancing Machine Learning Algorithms in Healthcare with Electronic Stethoscope
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A Self-Learning Fuzzy Rule-based System for Risk-Level Assessment of Coronary Heart Disease
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IETE Journal of Research,
2018 |
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TH-SOF-1264-IntelliHealth An intelligent medical decision support system using a novel multi-layer classifier ensemble framework based on enhanced bagging …
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2018 |
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2018 |
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Neural Networks Application for Detecting Heart Disease
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2018 |
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An Artificial Neural Network Based Pattern Classification Algorithm for Diagnosis of Heart Disease
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2017 |
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A FAST CORRELATION FILTER BASED GRADIENT BOOSTING CLASSIFIER FOR DISEASE DIAGNOSIS.
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International Journal of Advanced Research in Computer Science,
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Pre-classification process symptom questionnaire based on fuzzy logic for pulmonary function test cost reduction
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CMBEBIH 2017,
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Optimal feature selection using a modified differential evolution algorithm and its effectiveness for prediction of heart disease
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Computers in Biology and Medicine,
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A FAST CORRELATION FILTER BASED GRADIENT BOOSTING CLASSIFIER FOR DISEASE DIAGNOSIS
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The Cardio Kinesiograph System
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Current Trends in Biomedical Engineering & Biosciences,
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An integrated decision support system based on ANN and Fuzzy_AHP for heart failure risk prediction
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Expert Systems with Applications,
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Real-Time Grain Commodities Price Predictions in South Africa: A Big Data and Neural Networks Approach
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Separation Science and Technology,
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A Framework for Grain Commodities Trading Decision Support for South African Maize Farmers
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Analytical Study of Selected Classification Algorithms for Clinical Dataset
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2016 |
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Multitude Classifier Using Rough Set Jelinek Mercer Naïve Bayes for Disease Diagnosis
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Congenital Heart Septum Defect Diagnosis On Chest X-Ray Features Using Neural Networks
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The Effect of Pre-processing Techniques and Optimal Parameters in BPNN for Data Classification
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Neural network diagnosis of heart disease
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Оценивание удельного расхода топлива по косвенным измерениям с учетом изменения технического состояния ГТД
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Авиационно-космическая техника и технология,
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HEART DISEASE IDENTIFICATION METHOD USING MACHINE LEANING CLASSIFICATION IN E-HEALTHCARE
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ANALYSIS OF HEART ATTACK PREDICTION USING VARIOUS PARAMETERS
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An Efficient Heart Disease Prediction System based on Supervised Machine Learning Methods
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