Cardiovascular risk analysis by means of pulse morphology and clustering methodologies
暂无分享,去创建一个
João Cardoso | Vânia Almeida | Tânia Pereira | Carlos Manuel B. A. Correia | Helena Catarina Pereira | J. Borba | Mariano Pêgo | M. Pêgo | T. Pereira | H. Pereira | C. Correia | J. Cardoso | V. Almeida | J. Borba
[1] Carlos Correia,et al. Machine Learning Techniques for Arterial Pressure Waveform Analysis , 2013, Journal of personalized medicine.
[2] A. Dart,et al. Use of radial artery applanation tonometry and a generalized transfer function to determine aortic pressure augmentation in subjects with treated hypertension. , 1998, Journal of the American College of Cardiology.
[3] A. Beswick,et al. Risk scoring in the assessment of cardiovascular risk , 2006, Current opinion in lipidology.
[4] Andreas Holzinger,et al. Wave reflection quantification based on pressure waveforms alone - Methods, comparison, and clinical covariates , 2013, Comput. Methods Programs Biomed..
[5] João Cardoso,et al. Assessment of the pulse wave variability for a new non-invasive device , 2014 .
[6] D. Atkins,et al. American Heart Association guidelines for primary prevention of atherosclerotic cardiovascular disease beginning in childhood. , 2003, Circulation.
[7] Graham J. Williams,et al. Data Mining , 2000, Communications in Computer and Information Science.
[8] D. Ruta,et al. An Overview of Classifier Fusion Methods , 2000 .
[9] W. Cullen,et al. Research confuses me: what is the difference between case-control and cohort studies in quantitative research? , 2013, Irish medical journal.
[10] Jiawei Han,et al. Data Mining: Concepts and Techniques , 2000 .
[11] L. Shaw,et al. Comparison of Framingham, PROCAM, SCORE, and Diamond Forrester to predict coronary atherosclerosis and cardiovascular events , 2011, Journal of nuclear cardiology : official publication of the American Society of Nuclear Cardiology.
[12] 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.
[13] H. Struijker‐Boudier,et al. Expert consensus document on arterial stiffness: methodological issues and clinical applications. , 2006, European heart journal.
[14] João Cardoso,et al. Piezoelectric probe for pressure waveform estimation in flexible tubes and its application to the cardiovascular system , 2011 .
[15] N. Westerhof,et al. Aortic Input Impedance in Normal Man: Relationship to Pressure Wave Forms , 1980, Circulation.
[16] J. Lekakis,et al. Incremental value of arterial wave reflections in the determination of left ventricular diastolic dysfunction in untreated patients with essential hypertension , 2008, Journal of Human Hypertension.
[17] Gang Shen,et al. Clustering through empirical likelihood ratio , 2013, Comput. Stat. Data Anal..
[18] Amy S. Shah,et al. Clustering of Risk Factors: A Simple Method of Detecting Cardiovascular Disease in Youth , 2011, Pediatrics.
[19] Paulo Carvalho,et al. Long term cardiovascular risk models' combination , 2011, Comput. Methods Programs Biomed..
[20] I. Graham,et al. Value and limitations of existing scores for the assessment of cardiovascular risk: a review for clinicians. , 2009, Journal of the American College of Cardiology.
[21] Shah Ebrahim,et al. Fourth Joint Task Force of the European Society of Cardiology and Other Societies on Cardiovascular Disease Prevention in Clinical Practice (Constituted by representatives of nine societies and by invited experts) , 2007 .
[22] I. U. Haq,et al. Is the Framingham risk function valid for northern European populations? A comparison of methods for estimating absolute coronary risk in high risk men , 1999, Heart.
[23] Nikola Bogunovic,et al. Electrocardiogram analysis using a combination of statistical, geometric, and nonlinear heart rate variability features , 2011, Artif. Intell. Medicine.
[24] P ? ? ? ? ? ? ? % ? ? ? ? , 1991 .
[25] G. London,et al. Influence of arterial pulse and reflected waves on blood pressure and cardiac function. , 1999, American heart journal.
[26] Illhoi Yoo,et al. Data Mining in Healthcare and Biomedicine: A Survey of the Literature , 2012, Journal of Medical Systems.
[27] John P A Ioannidis,et al. Comparisons of established risk prediction models for cardiovascular disease: systematic review , 2012, BMJ : British Medical Journal.
[28] S. Strandgaard,et al. Reproducibility of pulse-wave analysis and pulse-wave velocity determination in chronic kidney disease. , 2007, Nephrology, dialysis, transplantation : official publication of the European Dialysis and Transplant Association - European Renal Association.
[29] James C. Bezdek,et al. Decision templates for multiple classifier fusion: an experimental comparison , 2001, Pattern Recognit..
[30] Shah Ebrahim,et al. European Guidelines on Cardiovascular Disease Prevention in Clinical Practice (Version 2012) , 2012, International Journal of Behavioral Medicine.
[31] Karl Rihaczek,et al. 1. WHAT IS DATA MINING? , 2019, Data Mining for the Social Sciences.
[32] Kavishwar B. Wagholikar,et al. Modeling Paradigms for Medical Diagnostic Decision Support: A Survey and Future Directions , 2012, Journal of Medical Systems.
[33] Abraham T. Mathew,et al. Fuzzy Clustered Probabilistic and Multi Layered Feed Forward Neural Networks for Electrocardiogram Arrhythmia Classification , 2011, Journal of Medical Systems.
[34] Vandana P. Janeja,et al. An Assessment of Patient Behavior Over Time–Periods: A Case Study of Managing Type 2 Diabetes Through Blood Glucose Readings and Insulin Doses , 2012, Journal of Medical Systems.
[35] Mario Giacobini,et al. Automatic hippocampus localization in histological images using Differential Evolution-based deformable models , 2013, Pattern Recognit. Lett..
[36] Ian Graham,et al. EUROPEAN GUIDELINES ON CARDIOVASCULAR DISEASE PREVENTION IN CLINICAL PRACTICE , 2005 .
[37] Mark Butlin,et al. Arterial blood pressure measurement and pulse wave analysis—their role in enhancing cardiovascular assessment , 2010, Physiological measurement.
[38] M. Holmes,et al. Predicting the impact of population level risk reduction in cardio-vascular disease and stroke on acute hospital admission rates over a 5 year period--a pilot study. , 2006, Public health.