Empirical Investigation of Multi-tier Ensembles for the Detection of Cardiac Autonomic Neuropathy Using Subsets of the Ewing Features
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Andrew Stranieri | Jemal H. Abawajy | Herbert F. Jelinek | Andrei V. Kelarev | A. Stranieri | H. Jelinek | J. Abawajy | A. Kelarev
[1] Leo Breiman,et al. Bagging Predictors , 1996, Machine Learning.
[2] Marimuthu Palaniswami,et al. Heart rate variability and QT dispersion in a cohort of diabetes patients , 2010, 2010 Computing in Cardiology.
[3] C. Cook,et al. Sleep related vehicle accidents , 1995, BMJ.
[4] Yoav Freund,et al. Experiments with a New Boosting Algorithm , 1996, ICML.
[5] D. Garvey. A review of the social and emotional wellbeing of Indigenous Australian peoples , 2008 .
[6] Adel Al-Jumaily,et al. A novel partially connected cooperative parallel PSO-SVM algorithm: Study based on sleep apnea detection , 2012, 2012 IEEE Congress on Evolutionary Computation.
[7] S. Thompson,et al. Health promotion resources for Aboriginal people: lessons learned from consultation and evaluation of diabetes foot care resources. , 2010, Health promotion journal of Australia : official journal of Australian Association of Health Promotion Professionals.
[8] R Walld,et al. Utilization of health care services in patients with severe obstructive sleep apnea. , 1996, Sleep.
[9] S W Tu,et al. Knowledge-based temporal abstraction for diabetic monitoring. , 1994, Proceedings. Symposium on Computer Applications in Medical Care.
[10] Asunción Gómez-Pérez,et al. A network of ontology networks for building e-employment advanced systems , 2011, Expert Syst. Appl..
[11] A. Miller,et al. Obstructive sleep apnea syndrome: complications and sequelae. , 1994, The Mount Sinai journal of medicine, New York.
[12] Jacques Wainer,et al. Machine learning and pattern classification in identification of indigenous retinal pathology , 2011, 2011 Annual International Conference of the IEEE Engineering in Medicine and Biology Society.
[13] M. Kryger,et al. Epidemiology of obstructive sleep apnea: a population-based perspective , 2008, Expert review of respiratory medicine.
[14] Andrei V. Kelarev,et al. Clustering Algorithms for ITS Sequence Data with Alignment Metrics , 2006, Australian Conference on Artificial Intelligence.
[15] B. Keough. Occlusion-based treatment planning for complex dental restorations: Part 1. , 2003, The International journal of periodontics & restorative dentistry.
[16] Sandhya Sharma,et al. Wireless Sensor Network : Healthcare , 2014 .
[17] K. K. Damghani,et al. Decision Making Under Uncertain and Risky Situations , 2009 .
[18] M. Christie,et al. Sharing the true stories: improving communication between Aboriginal patients and healthcare workers , 2002, The Medical journal of Australia.
[19] Andrew Stranieri,et al. Empirical Study of Decision Trees and Ensemble Classifiers for Monitoring of Diabetes Patients in Pervasive Healthcare , 2012, 2012 15th International Conference on Network-Based Information Systems.
[20] F. Lobbezoo,et al. Effects of an oral appliance with different mandibular protrusion positions at a constant vertical dimension on obstructive sleep apnea , 2010, Clinical Oral Investigations.
[21] Albert Y. Zomaya,et al. A novel swarm based feature selection algorithm in multifunction myoelectric control , 2009, J. Intell. Fuzzy Syst..
[22] A. Fortin. Communication skills to improve patient satisfaction and quality of care. , 2002, Ethnicity & disease.
[23] Thomas R. Gruber,et al. A translation approach to portable ontology specifications , 1993 .
[24] N. Powe,et al. Patient race/ethnicity and quality of patient-physician communication during medical visits. , 2004, American journal of public health.
[25] U. Mahmood,et al. Type-2 Fuzzy Classification of Blood Pressure Parameters , 2007, 2007 3rd International Conference on Intelligent Sensors, Sensor Networks and Information.
[26] V. Moret-Bonillo,et al. Intelligent diagnosis of sleep apnea syndrome , 2004, IEEE Engineering in Medicine and Biology Magazine.
[27] M. Bohanec,et al. The Analytic Hierarchy Process , 2004 .
[28] S. Chokroverty,et al. Overview of sleep & sleep disorders. , 2010, The Indian journal of medical research.
[29] Kay Römer,et al. Medium access control issues in sensor networks , 2006, CCRV.
[30] J. Benson. Concordance--An alternative term to 'compliance' in the Aboriginal population. , 2005, Australian family physician.
[31] François Ingelrest,et al. The hitchhiker's guide to successful wireless sensor network deployments , 2008, SenSys '08.
[32] Adel Al-Jumaily,et al. A Combined Ant Colony and Differential Evolution Feature Selection Algorithm , 2008, ANTS Conference.
[33] Md. Rafiqul Islam,et al. A multi-tier phishing detection and filtering approach , 2013, J. Netw. Comput. Appl..
[34] Matthew Warren,et al. Multi-tier Phishing Email Classification with an Impact of Classifier Rescheduling , 2009, 2009 10th International Symposium on Pervasive Systems, Algorithms, and Networks.
[35] A. Murray,et al. Systematic comparison of different algorithms for apnoea detection based on electrocardiogram recordings , 2002, Medical and Biological Engineering and Computing.
[36] P. Lloberes,et al. Mortality in severe sleep apnoea/hypopnoea syndrome patients: impact of treatment , 2002, European Respiratory Journal.
[37] R. van Noort. The future of dental devices is digital. , 2012, Dental materials : official publication of the Academy of Dental Materials.
[38] John C. Platt,et al. Fast training of support vector machines using sequential minimal optimization, advances in kernel methods , 1999 .
[39] Adel Al-Jumaily,et al. Automated detecting sleep apnea syndrome: A novel system based on genetic SVM , 2011, 2011 11th International Conference on Hybrid Intelligent Systems (HIS).
[40] A. Buj-Bello,et al. The glossary of prosthodontic terms. , 2005, The Journal of prosthetic dentistry.
[41] Stefan Conrad,et al. An approach for automatic sleep stage scoring and apnea-hypopnea detection , 2010, 2010 IEEE International Conference on Data Mining.
[42] Ronald R Grunstein,et al. Relationship between surface facial dimensions and upper airway structures in obstructive sleep apnea. , 2010, Sleep.
[43] D. Ewing,et al. The natural history of diabetic autonomic neuropathy. , 1980, The Quarterly journal of medicine.
[44] John A. Williams,et al. Simultaneous Registration of Multiple Corresponding Point Sets , 2001, Comput. Vis. Image Underst..
[45] Marimuthu Palaniswami,et al. Identifying diabetic patients with cardiac autonomic neuropathy by heart rate complexity analysis. , 2009, Biomedical engineering online.
[46] Boris Villazón-Terrazas. A Method for Reusing and Re-engineering Non-ontological Resources for Building Ontologies , 2012, Studies on the Semantic Web.
[47] M. Clerc,et al. The swarm and the queen: towards a deterministic and adaptive particle swarm optimization , 1999, Proceedings of the 1999 Congress on Evolutionary Computation-CEC99 (Cat. No. 99TH8406).
[48] Andrew Stranieri,et al. Detection of CAN by Ensemble Classifiers Based on Ripple Down Rules , 2012, PKAW.
[49] Thomas H Marwick,et al. Diabetic cardiomyopathy: evidence, mechanisms, and therapeutic implications. , 2004, Endocrine reviews.
[50] Andrew Stranieri,et al. Exploring novel features and decision rules to identify cardiovascular autonomic neuropathy using a hybrid of wrapper-filter based feature selection , 2010, 2010 Sixth International Conference on Intelligent Sensors, Sensor Networks and Information Processing.
[51] G. Gürel. Porcelain laminate veneers: minimal tooth preparation by design. , 2007, Dental clinics of North America.
[52] D. Ewing,et al. The Value of Cardiovascular Autonomic Function Tests: 10 Years Experience in Diabetes , 1985, Diabetes Care.
[53] Gérard Bloch,et al. Incorporating prior knowledge in support vector machines for classification: A review , 2008, Neurocomputing.
[54] R. Connor. Sample size for testing differences in proportions for the paired-sample design. , 1987, Biometrics.
[55] A. Cass,et al. “All they said was my kidneys were dead”: Indigenous Australian patients’ understanding of their chronic kidney disease , 2008, The Medical journal of Australia.
[56] Mohammed Bennamoun,et al. Three-Dimensional Model-Based Object Recognition and Segmentation in Cluttered Scenes , 2006, IEEE Transactions on Pattern Analysis and Machine Intelligence.
[57] Johannes Fürnkranz,et al. An Evaluation of Grading Classifiers , 2001, IDA.
[58] Mari Carmen Suárez-Figueroa,et al. NeOn methodology for building ontology networks: specification, scheduling and reuse , 2011, DISKI.
[59] Russell C. Eberhart,et al. A new optimizer using particle swarm theory , 1995, MHS'95. Proceedings of the Sixth International Symposium on Micro Machine and Human Science.
[60] Leo Breiman,et al. Random Forests , 2001, Machine Learning.
[61] J. Abduo. An innovative prostheses design for rehabilitation of severely mutilated dentition: a case report , 2011, The journal of advanced prosthodontics.
[62] Ian H. Witten,et al. The WEKA data mining software: an update , 2009, SKDD.
[63] Yu Lin,et al. Ontology driven modeling for the knowledge of genetic susceptibility to disease. , 2009, The Kobe journal of medical sciences.
[64] Yoav Freund,et al. The Alternating Decision Tree Learning Algorithm , 1999, ICML.
[65] S. Sathiya Keerthi,et al. Improvements to Platt's SMO Algorithm for SVM Classifier Design , 2001, Neural Computation.
[66] Pascal Magne,et al. Novel porcelain laminate preparation approach driven by a diagnostic mock-up. , 2004, Journal of esthetic and restorative dentistry : official publication of the American Academy of Esthetic Dentistry ... [et al.].
[67] Andrew Stranieri,et al. Empirical investigation of consensus clustering for large ECG data sets , 2012, 2012 25th IEEE International Symposium on Computer-Based Medical Systems (CBMS).
[68] Geoffrey I. Webb,et al. MultiBoosting: A Technique for Combining Boosting and Wagging , 2000, Machine Learning.
[69] Ian H. Witten,et al. Stacking Bagged and Dagged Models , 1997, ICML.
[70] Thepchai Supnithi,et al. A Semantic Web Framework to Support Knowledge Management in Chronic Disease Healthcare , 2009, MTSR.
[71] Osman Erogul,et al. Artificial Apnea Classification with Quantitative Sleep EEG Synchronization , 2012, Journal of Medical Systems.
[72] Jyrki Wallenius,et al. Multiple Criteria Decision Making: From Early History to the 21st Century , 2011 .
[73] Peretz Lavie,et al. Obstructive sleep apnoea syndrome as a risk factor for hypertension: population study , 2000, BMJ : British Medical Journal.
[74] Adel Al-Jumaily,et al. Evolutionary fuzzy discriminant analysis feature projection technique in myoelectric control , 2009, Pattern Recognit. Lett..
[75] M.O. Al-Jaafreh,et al. New Model to estimate Mean Blood Pressure by Heart Rate with Stroke Volume changing influence , 2006, 2006 International Conference of the IEEE Engineering in Medicine and Biology Society.
[76] Adel Al-Jumaily,et al. Genetic Fuzzy Approach for detecting Sleep Apnea/Hypopnea Syndrome , 2011 .
[77] J. Stradling,et al. Relation between systemic hypertension and sleep hypoxaemia or snoring: analysis in 748 men drawn from general practice. , 1990, BMJ.
[78] I. Song,et al. Working Set Selection Using Second Order Information for Training Svm, " Complexity-reduced Scheme for Feature Extraction with Linear Discriminant Analysis , 2022 .
[79] G. Davis,et al. Quantification of residual dentine thickness following crown preparation. , 2012, Journal of dentistry.
[80] C. George. Reduction in motor vehicle collisions following treatment of sleep apnoea with nasal CPAP , 2001, Thorax.
[81] W C Dement,et al. Diagnosis and treatment of sleep apnea within the community. The Walla Walla Project. , 1997, Archives of internal medicine.
[82] J. Ross Quinlan,et al. C4.5: Programs for Machine Learning , 1992 .
[83] Herbert F. Jelinek,et al. Automated classification reveals morphological factors associated with dementia , 2008, Appl. Soft Comput..
[84] Thepchai Supnithi,et al. Ontology Development for Type II Diabetes Mellitus Clinical Support System , 2009 .
[85] Alberto Maria Segre,et al. Programs for Machine Learning , 1994 .
[86] Ron Kohavi,et al. Scaling Up the Accuracy of Naive-Bayes Classifiers: A Decision-Tree Hybrid , 1996, KDD.
[87] T. Prvan,et al. Prediction of obstructive sleep apnea with craniofacial photographic analysis. , 2009, Sleep.
[88] David H. Wolpert,et al. Stacked generalization , 1992, Neural Networks.
[89] Mark C. Jones. PRINCIPLES AND PRACTICE OF SLEEP MEDICINE , 1990 .
[90] Daniel J Buysse,et al. Sleep–Related Breathing Disorders in Adults: Recommendations for Syndrome Definition and Measurement Techniques in Clinical Research , 2000 .
[91] Carlos A. Pomalaza-Raez,et al. Application-Driven Analytic Toolbox for WSNs , 2009, ADHOC-NOW.
[92] Byeong Ho Kang,et al. Experimental investigation of classification algorithms for ITS dataset , 2008 .
[93] R. Conley,et al. Evidence for dental and dental specialty treatment of obstructive sleep apnoea. Part 1: the adult OSA patient and Part 2: the paediatric and adolescent patient. , 2011, Journal of oral rehabilitation.
[94] T. Morgenthaler,et al. Complex sleep apnea syndrome: is it a unique clinical syndrome? , 2006, Sleep.
[95] Marjorie Kagawa-Singer,et al. A Strategy to Reduce Cross‐cultural Miscommunication and Increase the Likelihood of Improving Health Outcomes , 2003, Academic medicine : journal of the Association of American Medical Colleges.
[96] Elena Hernández-Pereira,et al. An intelligent system for the detection and interpretation of sleep apneas , 2003, Expert Syst. Appl..
[97] M. Kanter,et al. Proactive office encounter: a systematic approach to preventive and chronic care at every patient encounter. , 2010, The Permanente journal.
[98] Conor Heneghan,et al. Automated processing of the single-lead electrocardiogram for the detection of obstructive sleep apnoea , 2003, IEEE Transactions on Biomedical Engineering.
[99] Thomas R. Gruber,et al. Toward principles for the design of ontologies used for knowledge sharing? , 1995, Int. J. Hum. Comput. Stud..
[100] Andrei V. Kelarev,et al. A New Model for Classifying DNA Code Inspired by Neural Networks and FSA , 2006, PKAW.
[101] Xiangjian He,et al. Performance Uncertainty Impact on WSNs Design Evaluation , 2012, 2012 International Conference on Control Engineering and Communication Technology.
[102] B. Stegenga,et al. Effects of a mandibular advancement device on the upper airway morphology: a cephalometric analysis. , 2009, Journal of oral rehabilitation.
[103] H Bearpark,et al. Snoring and sleep apnea. A population study in Australian men. , 1995, American journal of respiratory and critical care medicine.
[104] Ronald R Grunstein,et al. Craniofacial phenotyping in obstructive sleep apnea--a novel quantitative photographic approach. , 2009, Sleep.