Journal of Intelligent Learning Systems and Applications

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
"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):
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[15] Developing Risk Level Prediction Model and Clinical Decision Support System for Cardiovascular Diseases in Ethiopia
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[16] Prediction of Cardiovascular Disease using Machine Learning Algorithms with Relief and Lasso Feature Selection Techniques
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[17] Machine Learning Based Diagnosis System for Easy and Fast Heart Disease Prediction
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[18] DETECTION OF HEART DISEASES USING DATA MINING TECHNIQUES
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[19] Optimized Random Forest Algorithm with Parameter Tuning for Predicting Heart Disease
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[20] A Hybridized Model for the Prediction of Heart Disease using ML Algorithms
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[24] 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
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[27] Efficient Prediction of Cardiovascular Disease Using Machine Learning Algorithms With Relief and LASSO Feature Selection Techniques
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[34] Elimination of Irrelevant Features and Heart Disease Recognition by Employing Machine Learning Algorithms using Clinical Data
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[35] Application of Machine Learning for the Detection of Heart Disease
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[36] Heart disease data classification using advanced data mining techniques
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[37] Towards comparing and using Machine Learning techniques for detecting and predicting Heart Attack and Diseases
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[40] Effective Prediction On Heart Disease: Anticipating Heart Disease Using Data Mining Techniques
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[41] Heart Disease Detection: A Neural Networks Application
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[47] Analysis of Neural Networks Based Heart Disease Prediction System
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[50] Enhancing Machine Learning Algorithms in Healthcare with Electronic Stethoscope
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[51] A Self-Learning Fuzzy Rule-based System for Risk-Level Assessment of Coronary Heart Disease
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[71] The Effect of Pre-processing Techniques and Optimal Parameters in BPNN for Data Classification
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[72] The effect of pre-processing techniques and optimal parameters on BPNN for data classification
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[73] Neural network diagnosis of heart disease
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[74] Оценивание удельного расхода топлива по косвенным измерениям с учетом изменения технического состояния ГТД
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[75] HEART DISEASE IDENTIFICATION METHOD USING MACHINE LEANING CLASSIFICATION IN E-HEALTHCARE
[76] ANALYSIS OF HEART ATTACK PREDICTION USING VARIOUS PARAMETERS
[77] PREDIKSI PENYAKIT JANTUNG CARDIOVASCULAR MENGGUNAKAN MODEL ALGORITMA KLASIFIKASI
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