Improving the Probability of Clinical Diagnosis of Coronary-Artery Disease Using Extended Kalman Filters with Radial Basis Function Network

Author:

Alsalamah Mashail,Amin Saad

Publisher

Springer International Publishing

Reference22 articles.

1. WHO: WHO World Health Organization, January 2015. http://www.who.int/mediacentre/factsheets/fs317/en/ . Accessed 6 Mar 2016

2. NIH: What is Coronary Heart Disease, National Institute of Health, 3 October 2015. http://www.nhlbi.nih.gov/health/health-topics/topics/cad . Accessed 6 Mar 2016

3. British Heart Foundation: Risk factors (2015). https://www.bhf.org.uk/heart-health/risk-factors . Accessed 6 Mar 2016

4. Wan, E.A., Van Der Merwe, R.: The unscented Kalman filter for nonlinear estimation. In: The IEEE Conference on Adaptive Systems for Signal Processing, Communications, and Control Symposium 2000, AS-SPCC (2000)

5. Julier, S.J., Uhlmann, J.K.: New extension of the Kalman filter to nonlinear systems. In: AeroSense 1997 International Society for Optics and Photonics (1997)

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