A Novel Effective Ensemble Model for Early Detection of Coronary Artery Disease
暂无分享,去创建一个
Moloud Abdar | Vladimir Makarenkov | Nadia Tahiri | Jaël Champagne Gareau | Zahia Aouabed | V. Makarenkov | M. Abdar | Nadia Tahiri | Zahia Aouabed | Jaël Champagne Gareau | Z. Aouabed | Moloud Abdar
[1] Yang Fu,et al. Short-term wind power forecasts by a synthetical similar time series data mining method , 2018 .
[2] Maciej Kusy,et al. Probabilistic neural network training procedure based on Q(0)-learning algorithm in medical data classification , 2014, Applied Intelligence.
[3] Jafar Habibi,et al. Coronary artery disease detection using computational intelligence methods , 2016, Knowl. Based Syst..
[4] U. Rajendra Acharya,et al. IAPSO-AIRS: A novel improved machine learning-based system for wart disease treatment , 2019, Journal of Medical Systems.
[5] Oumaima Terrada,et al. Classification and Prediction of atherosclerosis diseases using machine learning algorithms , 2019, 2019 5th International Conference on Optimization and Applications (ICOA).
[6] Mattias Ohlsson,et al. Improving prediction of heart transplantation outcome using deep learning techniques , 2018, Scientific Reports.
[7] Lin Lu,et al. Machine Learning and Network Methods for Biology and Medicine , 2015, Comput. Math. Methods Medicine.
[8] Kemal Polat,et al. Automatic detection of heart disease using an artificial immune recognition system (AIRS) with fuzzy resource allocation mechanism and k , 2007, Expert Syst. Appl..
[9] Moloud Abdar,et al. CWV-BANN-SVM ensemble learning classifier for an accurate diagnosis of breast cancer , 2019, Measurement.
[10] Novruz Allahverdi,et al. Design of a hybrid system for the diabetes and heart diseases , 2008, Expert Syst. Appl..
[11] U. Rajendra Acharya,et al. Automated diagnosis of coronary artery disease using tunable-Q wavelet transform applied on heart rate signals , 2015, Knowl. Based Syst..
[12] Jun Deng,et al. Predicting non-melanoma skin cancer via a multi-parameterized artificial neural network , 2018, Scientific Reports.
[13] Simon Fong,et al. Improving the classification performance of biological imbalanced datasets by swarm optimization algorithms , 2016, The Journal of Supercomputing.
[14] Kasturi Dewi Varathan,et al. Identification of significant features and data mining techniques in predicting heart disease , 2019, Telematics Informatics.
[15] Pierre Baldi,et al. SSpro/ACCpro 5: almost perfect prediction of protein secondary structure and relative solvent accessibility using profiles, machine learning and structural similarity , 2014, Bioinform..
[16] Mei-Ling Huang,et al. An approach combining data mining and control charts-based model for fault detection in wind turbines , 2018 .
[17] Abdulkadir Sengür,et al. Effective diagnosis of heart disease through neural networks ensembles , 2009, Expert Syst. Appl..
[18] Moloud Abdar,et al. Using PSO Algorithm for Producing Best Rules in Diagnosis of Heart Disease , 2017, 2017 International Conference on Computer and Applications (ICCA).
[19] Moloud Abdar,et al. Performance analysis of classification algorithms on early detection of liver disease , 2017, Expert Syst. Appl..
[20] Adeeb Noor,et al. An Optimized Stacked Support Vector Machines Based Expert System for the Effective Prediction of Heart Failure , 2019, IEEE Access.
[21] Pawel Plawiak,et al. Novel genetic ensembles of classifiers applied to myocardium dysfunction recognition based on ECG signals , 2017, Swarm Evol. Comput..
[22] Yi-Ping Phoebe Chen,et al. Association rule mining to detect factors which contribute to heart disease in males and females , 2013, Expert Syst. Appl..
[23] Kemal Polat,et al. Diagnosis of heart disease using artificial immune recognition system and fuzzy weighted pre-processing , 2006, Pattern Recognit..
[24] Kwong-Sak Leung,et al. The Impact of Protein Structure and Sequence Similarity on the Accuracy of Machine-Learning Scoring Functions for Binding Affinity Prediction , 2018, Biomolecules.
[25] Kavita Burse,et al. Various Preprocessing Methods for Neural Network Based Heart Disease Prediction , 2019 .
[26] Frantisek Babic,et al. Predictive and descriptive analysis for heart disease diagnosis , 2017, 2017 Federated Conference on Computer Science and Information Systems (FedCSIS).
[27] Yichuan Wang,et al. An integrated big data analytics-enabled transformation model: Application to health care , 2018, Inf. Manag..
[28] Moloud Abdar,et al. Design of A Universal User Model for Dynamic Crowd Preference Sensing and Decision-Making Behavior Analysis , 2017, IEEE Access.
[29] Xujuan Zhou,et al. A new nested ensemble technique for automated diagnosis of breast cancer , 2020, Pattern Recognit. Lett..
[30] Ian H. Witten,et al. Weka-A Machine Learning Workbench for Data Mining , 2005, Data Mining and Knowledge Discovery Handbook.
[31] Mark A. Hall,et al. Correlation-based Feature Selection for Machine Learning , 2003 .
[32] U. Rajendra Acharya,et al. Automated characterization and classification of coronary artery disease and myocardial infarction by decomposition of ECG signals: A comparative study , 2017, Inf. Sci..
[33] Kazuyuki Murase,et al. Adaptive weighted fuzzy rule-based system for the risk level assessment of heart disease , 2018, Applied Intelligence.
[34] U. Rajendra Acharya,et al. Novel deep genetic ensemble of classifiers for arrhythmia detection using ECG signals , 2019, Neural Computing and Applications.