ILDIZ, GÜLCE ÖĞRÜÇBayarı, SevgiYorguner, NeşeFausto, Rui2023-01-242023-01-242021Ildiz, G. O., Bayari, S., Yorguner, N., & Fausto, R. (2021). Blood serum–infrared spectra-based chemometric models for auxiliary diagnosis of autism spectrum disorder. In Neural Engineering Techniques for Autism Spectrum Disorder (pp. 185-213). Academic Press.978-012822822-7https://doi.org/10.1016/B978-0-12-822822-7.00010-7https://hdl.handle.net/11413/8244This chapter focuses on the use of chemometric models developed from infrared (IR) spectroscopic data of blood serum as an auxiliary tool for autism spectrum disorder (ASD) diagnosis. In the introductory sections the fundamentals of IR spectroscopy are shortly reviewed and brief descriptions of the different chemometric methods used in the case study described in the last section of the chapter are presented. The last section deals with the application of the described strategy to the diagnosis of ASD in children and adolescents. © 2021 Elsevier Inc. All rights reserved.eninfo:eu-repo/semantics/closedAccessAutism Spectrum DisorderAuxiliary Diagnosis ModelsBlood SerumInfrared SpectroscopyMultivariate StatisticsBook chapter2-s2.0-85129054909