Sensor Data Classification for Renal Dysfunction Patients Using Support Vector Machine

Author:

Jayasree T.,Bobby M.,Muttan S.

Publisher

Springer Science and Business Media LLC

Subject

Biomedical Engineering,General Medicine

Reference18 articles.

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2. Amin, N., Mohamood, R. T., Asad, M. J., Zafar, M., & Raja, A. M. (2014). Evaluating urea and creatinine levels in chronic renal failure pre and post dialysis: A prospective study. Journal of Cardiovascular Disease, 2, 2.

3. Shamsadini, S., Darvish Moghaddam, S., Abdollahi, H., Fekri, A. R. & Ebrahimi H. A. (2006). Creatinine, blood urea nitrogen and thyroid hormone levels before and after haemodialysis. Eastern Mediterranean Health Journal, 12, 231–235.

4. Kumar, Gaurav, Mishra, Sunita, & Jain, Aastha. (2013). Development of breath ammonia analysis system for disease diagnosis. Asian Journal of Biochemical and pharmaceutical Research, 3, 36–43.

5. Distante, C., Leo, M., Siciliano, P., & Persaud, K. C. (2002). On the study of feature extraction methods for an electronic nose. Sensors and Actuators B Chemical Sensors and Materials, 87, 274–288.

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