On Machine Learning for Autism Prediction from Functional Connectivity

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dc.contributor.authorMoisés Silva
dc.contributor.authorManuel Graña
dc.coverage.spatialBolivia
dc.date.accessioned2026-03-22T20:30:27Z
dc.date.available2026-03-22T20:30:27Z
dc.date.issued2021
dc.identifier.doi10.1007/978-3-030-81523-3_16
dc.identifier.urihttps://doi.org/10.1007/978-3-030-81523-3_16
dc.identifier.urihttps://andeanlibrary.org/handle/123456789/82401
dc.language.isoen
dc.publisherSpringer International Publishing
dc.relation.ispartofLecture notes in networks and systems
dc.sourceHigher University of San Andrés
dc.subjectFunctional connectivity
dc.subjectAutism spectrum disorder
dc.subjectPrincipal component analysis
dc.subjectAutism
dc.subjectFunctional magnetic resonance imaging
dc.subjectArtificial intelligence
dc.subjectComputer science
dc.subjectResting state fMRI
dc.subjectFeature selection
dc.subjectPattern recognition (psychology)
dc.titleOn Machine Learning for Autism Prediction from Functional Connectivity
dc.typebook-chapter

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