Autism is a multifactorial condition in which a single risk factor can unlikely provide comprehensive explanation for the disease origin. Moreover, due to the complexity of risk factors interplay, traditional statistics is often unable to explain the core of the problem due to the strong inherent nonlinearity of relationships. The aim of this study was to assess the frequency of 27 potential risk factors related to pregnancy and peri-postnatal period.

Pregnancy risk factors in autism: a pilot study with artificial neural networks

MURATORI, FILIPPO
2016-01-01

Abstract

Autism is a multifactorial condition in which a single risk factor can unlikely provide comprehensive explanation for the disease origin. Moreover, due to the complexity of risk factors interplay, traditional statistics is often unable to explain the core of the problem due to the strong inherent nonlinearity of relationships. The aim of this study was to assess the frequency of 27 potential risk factors related to pregnancy and peri-postnatal period.
2016
Grossi, Enzo; Veggo, Federica; Narzisi, Antonio; Compare, Angelo; Muratori, Filippo
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Utilizza questo identificativo per citare o creare un link a questo documento: https://hdl.handle.net/11568/785824
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