Abstract
The harmful presence of retrovirus in CD4cells of the human immune system can result in the syndrome of human immunodeficiency known as AIDS, a disease that has extended widely across the entire planet.This paper proposes to obtain characteristic RAMAN spectra with specific peaks detected, eliminating the noise of high frequency (HF) and fluorescence of the signal obtained with SERS and improved with ANFIS. With the spectra cleaned of this noise (HF and fluorescence) the characteristic RAMAN spectra of each microorganism or retrovirus (HIV) in this case is defined. This method provides the specialists with important clinical tools to express an efficient diagnosis of AIDS.
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De La Torre, J., Luna, F., Martínez, J., Padilla, A., Mora, M. (2008). SERS and ANFIS: Fast Identification of the Presence of Retrovirus in CD4 Cells, Cause of AIDS. In: Gelbukh, A., Morales, E.F. (eds) MICAI 2008: Advances in Artificial Intelligence. MICAI 2008. Lecture Notes in Computer Science(), vol 5317. Springer, Berlin, Heidelberg. https://doi.org/10.1007/978-3-540-88636-5_88
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DOI: https://doi.org/10.1007/978-3-540-88636-5_88
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