Diagnosis of atherosclerosis from carotid artery Doppler signals as a real-world medical application of artificial immune systems
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Fatma Latifoglu | Sadik Kara | Salih Günes | Seral Sahan | S. Günes | S. Kara | F. Latifoğlu | S. Sahan
[1] W N van Asten,et al. Assessment of aortoiliac obstructive disease by Doppler spectrum analysis of blood flow velocities in the common femoral artery at rest and during reactive hyperemia. , 1991, Surgery.
[2] Dursun Delen,et al. Predicting breast cancer survivability: a comparison of three data mining methods , 2005, Artif. Intell. Medicine.
[3] D H Evans,et al. Common femoral artery Doppler wave‐forms: A comparison of three methods of objective analysis with direct pressure measurements , 1984, The British journal of surgery.
[4] Y. Wilson,et al. Postocclusive hyperaemic duplex scan: A new method of aortoiliac assessment , 1995, The British journal of surgery.
[5] F. Azuaje. Artificial Immune Systems: A New Computational Intelligence Approach , 2003 .
[6] P Toutouzas,et al. Distensibility of the ascending aorta: comparison of invasive and non-invasive techniques in healthy men and in men with coronary artery disease. , 1990, European heart journal.
[7] M. Müller,et al. Comparison of color-flow Doppler scanning, power Doppler scanning, and frequency shift for assessment of carotid artery stenosis. , 2001, Journal of vascular surgery.
[8] J P Woodcock,et al. Upstream stenosis. Its diagnosis by Doppler signals from the femoral artery. , 1980, Archives of surgery.
[9] E De Nigris,et al. [Ultrasonics in medicine]. , 1978, Minerva medica.
[10] Jonathan Timmis,et al. Inspiration for the Next Generation of Artificial Immune Systems , 2005, ICARIS.
[11] Elif Derya Übeyli,et al. Comparison of eigenvector methods with classical and model-based methods in analysis of internal carotid arterial Doppler signals , 2003, Comput. Biol. Medicine.
[12] D. Evans. Doppler Ultrasound: Physics Instrumentation and Clinical Applications , 1989 .
[13] Kemal Polat,et al. A New Classifier Based on Attribute Weighted Artificial Immune System (AWAIS) , 2004, ISCIS.
[14] Fernando J. Von Zuben,et al. Designing Ensembles of Fuzzy Classification Systems: An Immune-Inspired Approach , 2005, ICARIS.
[15] D H Evans. Doppler signal analysis. , 2000, Ultrasound in medicine & biology.
[16] Kemal Polat,et al. A new method to medical diagnosis: Artificial immune recognition system (AIRS) with fuzzy weighted pre-processing and application to ECG arrhythmia , 2006, Expert Syst. Appl..
[17] B. Sigel,et al. A brief history of Doppler ultrasound in the diagnosis of peripheral vascular disease. , 1998, Ultrasound in medicine & biology.
[18] R S Cobbold,et al. A comparative study and assessment of Doppler ultrasound spectral estimation techniques. Part II: Methods and results. , 1988, Ultrasound in medicine & biology.
[19] Kemal Polat,et al. A New Classification Method for Breast Cancer Diagnosis: Feature Selection Artificial Immune Recognition System (FS-AIRS) , 2005, ICNC.
[20] R. Gramiak,et al. Cardiovascular Applications of Ultrasound , 1975 .
[21] Kemal Polat,et al. The Medical Applications of Attribute Weighted Artificial Immune System (AWAIS): Diagnosis of Heart and Diabetes Diseases , 2005, ICARIS.
[22] Lois Boggess,et al. Non-Euclidean distance measures in AIRS, an artificial immune classification system , 2004, Proceedings of the 2004 Congress on Evolutionary Computation (IEEE Cat. No.04TH8753).
[23] A. Abbas,et al. Cellular and Molecular Immunology , 1991 .
[24] Jonathan Timmis,et al. Artificial immune systems - a new computational intelligence paradigm , 2002 .
[25] G. Oster,et al. Theoretical studies of clonal selection: minimal antibody repertoire size and reliability of self-non-self discrimination. , 1979, Journal of theoretical biology.
[26] A. Dart,et al. Aortic distensibility in patients with isolated hypercholesterolaemia, coronary artery disease, or cardiac transplant , 1991, The Lancet.
[27] Catherine Blake,et al. UCI Repository of machine learning databases , 1998 .
[28] S. Sasayama,et al. Stiffness of systemic arteries in patients with myocardial infarction. A noninvasive method to predict severity of coronary atherosclerosis. , 1989, Circulation.