Real-time monitoring system for early prediction of heart disease using Internet of Things
暂无分享,去创建一个
[1] Sundararaman Gopalan,et al. IoT Based Low Cost Single Sensor Node Remote Health Monitoring System , 2017, EUSPN/ICTH.
[2] Arif Gülten,et al. Classifier ensemble construction with rotation forest to improve medical diagnosis performance of machine learning algorithms , 2011, Comput. Methods Programs Biomed..
[3] Kemal Polat,et al. A hybrid approach to medical decision support systems: Combining feature selection, fuzzy weighted pre-processing and AIRS , 2007, Comput. Methods Programs Biomed..
[4] S. Muthukaruppan,et al. A hybrid particle swarm optimization based fuzzy expert system for the diagnosis of coronary artery disease , 2012, Expert Syst. Appl..
[5] M. Kindt,et al. False Heart Rate Feedback and the Perception of Heart Symptoms in Patients with Congenital Heart Disease and Anxiety , 2009, International journal of behavioral medicine.
[6] Mu-Yen Chen,et al. Integrating data mining with case-based reasoning for chronic diseases prognosis and diagnosis , 2007, Expert Syst. Appl..
[7] 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..
[8] Byoung-Tak Zhang,et al. AptaCDSS-E: A classifier ensemble-based clinical decision support system for cardiovascular disease level prediction , 2008, Expert Syst. Appl..
[9] Shantharajah S. Periyasamy,et al. Optimal body mass index cutoff point for cardiovascular disease and high blood pressure , 2018, Neural Computing and Applications.
[10] T. Jarin,et al. Segmentation by Fractional Order Darwinian Particle Swarm Optimization Based Multilevel Thresholding and Improved Lossless Prediction Based Compression Algorithm for Medical Images , 2019, IEEE Access.
[11] Gunasekaran Manogaran,et al. Machine Learning Approach-Based Gamma Distribution for Brain Tumor Detection and Data Sample Imbalance Analysis , 2019, IEEE Access.
[12] C. Nienaber,et al. Improved Functional Activity of Bone Marrow Derived Circulating Progenitor Cells After Intra Coronary Freshly Isolated Bone Marrow Cells Transplantation in Patients with Ischemic Heart Disease , 2010, Stem Cell Reviews and Reports.
[13] Shantharajah S. Periyasamy,et al. An optimized feature selection based on genetic approach and support vector machine for heart disease , 2019, Clust. Comput..
[14] Carlos Ordonez,et al. Association rule discovery with the train and test approach for heart disease prediction , 2006, IEEE Transactions on Information Technology in Biomedicine.
[15] Noor Akhmad Setiawan,et al. A Comparative Study of Imputation Methods to Predict Missing Attribute Values in Coronary Heart Disease Data Set , 2008 .
[16] Nabendu Chaki,et al. Personal Health Record Management System Using Hadoop Framework: An Application for Smarter Health Care , 2016 .
[17] Jouni Lampinen,et al. A Classification method based on principal component analysis and differential evolution algorithm applied for prediction diagnosis from clinical EMR heart data sets , 2010 .
[18] S. K. Srivatsa,et al. Applying Machine Learning Methods in Diagnosing Heart Disease for Diabetic Patients , 2012 .
[19] S. P. Shantharajah,et al. Survey on data analytics techniques in healthcare using IOT platform , 2018 .
[20] 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..
[21] Dimitrios I. Fotiadis,et al. Automated Diagnosis of Coronary Artery Disease Based on Data Mining and Fuzzy Modeling , 2008, IEEE Transactions on Information Technology in Biomedicine.
[22] Paolo Melillo,et al. Classification Tree for Risk Assessment in Patients Suffering From Congestive Heart Failure via Long-Term Heart Rate Variability , 2013, IEEE Journal of Biomedical and Health Informatics.
[23] B. S. Saini,et al. Detection of coronary artery disease by reduced features and extreme learning machine , 2018, Clujul medical.
[24] R. Varatharajan,et al. Cloud and IoT based disease prediction and diagnosis system for healthcare using Fuzzy neural classifier , 2018, Future Gener. Comput. Syst..
[25] Rozaida Ghazali,et al. The Development of Improved Back-Propagation Neural Networks Algorithm for Predicting Patients with Heart Disease , 2010, ICICA.
[26] T. V. Padmavathy,et al. Performance analysis of pre-cancerous mammographic image enhancement feature using non-subsampled shearlet transform , 2018, Multimedia Tools and Applications.
[27] Gunasekaran Manogaran,et al. A new architecture of Internet of Things and big data ecosystem for secured smart healthcare monitoring and alerting system , 2017, Future Gener. Comput. Syst..
[28] Peter C Austin,et al. Using methods from the data-mining and machine-learning literature for disease classification and prediction: a case study examining classification of heart failure subtypes. , 2013, Journal of clinical epidemiology.
[29] Yi-Ping Phoebe Chen,et al. Computational intelligence for heart disease diagnosis: A medical knowledge driven approach , 2013, Expert Syst. Appl..
[30] Min-Soo Kim,et al. Decision-making model for early diagnosis of congestive heart failure using rough set and decision tree approaches , 2012, J. Biomed. Informatics.
[31] Mehmet Bayrak,et al. Assessment of exercise stress testing with artificial neural network in determining coronary artery disease and predicting lesion localization , 2009, Expert Syst. Appl..
[32] Gholam Ali Montazer,et al. A fuzzy-evidential hybrid inference engine for coronary heart disease risk assessment , 2010, Expert Syst. Appl..
[33] G. Usha Devi,et al. Wireless camera network with enhanced SIFT algorithm for human tracking mechanism , 2018 .
[34] S. P. Shantharajah,et al. An optimized feature selection based on genetic approach and support vector machine for heart disease , 2018, Cluster Computing.
[35] Shantharajah S. Periyasamy,et al. Remote Health Patient Monitoring System for Early Detection of Heart Disease , 2021, Int. J. Grid High Perform. Comput..
[36] Gabriele Guidi,et al. A Machine Learning System to Improve Heart Failure Patient Assistance , 2014, IEEE Journal of Biomedical and Health Informatics.