Saliva FTIR Spectra and Machine Learning for Autism Spectrum Disorder Diagnosis-Preliminary Study

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dc.contributor.authorPinto, Mayara Moniz Vieira
dc.contributor.authorArisawa, Emilia Angela Lo Schiavo
dc.contributor.authorRaniero, Leandro José
dc.contributor.authorBhattacharjee, Tanmoy
dc.date.accessioned2025-08-26T13:13:53Z
dc.date.available2025-08-26T13:13:53Z
dc.date.issued22025
dc.description.abstractThe diagnosis of Autism Spectrum Disorder (ASD) remains a challenge due to the lack of specific tests and biological markers. ASD is a neurodevelopmental disorder that affects in- dividuals throughout their lives, and its diagnosis allows access to treatments that improve their prognosis. Saliva analysis by Fourier Transform Infrared Spectroscopy (FTIR), which was not previ- ously reported, appears to be a promising diagnostic tool for ASD. This study acquired spectra from samples of 19 ASD and 19 control children. Spectral signatures suggest the dominance of protein secondary structures, β-pleated sheet and α-helix structures in ASD and control children, respectively. Support Vector Machine (SVM) gave the best diagnosis, with sensitivity, precision, and specificity being 92%, 94%, and 95%, respectively. Shapley values analysis to understand the impact of spectral features on the SVM classifier identified β-pleated and β-turn sheets as responsible for classification. Results indicate the potential of saliva-based FTIR for autism diagnosis, warranting a large-scale trial.
dc.description.physical4 p.
dc.format.mimetypePDF
dc.identifier.affiliationUniversidade do Vale do Paraíba
dc.identifier.bibliographicCitationPINTO, M. M. V. et al. Saliva FTIR Spectra and Machine Learning for Autism Spectrum Disorder Diagnosis-Preliminary Study. IEEE Photonics Journal, v. 17, n. 3, p. 1-4, 2025. Disponível em: 10.1109/JPHOT.2025.3561020.
dc.identifier.doi10.1109/JPHOT.2025.3561020
dc.identifier.urihttps://repositorio.univap.br/handle/123456789/1041
dc.language.isoen_US
dc.publisherIEEE
dc.rights.holderIEEE Photonics Journal
dc.subject.keywordAutism spectrum disorder
dc.subject.keywordDiagnosis
dc.subject.keywordFTIR
dc.subject.keywordMachine learning
dc.titleSaliva FTIR Spectra and Machine Learning for Autism Spectrum Disorder Diagnosis-Preliminary Study
dc.typeArtigos de Periódicos

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