Potential identification of vitamin B6 responsiveness in autism spectrum disorder utilizing phenotype variables and machine learning methods

Abstract We investigated whether machine learning methods could potentially identify a subgroup of persons with autism spectrum disorder (ASD) who show vitamin B6 responsiveness by selected phenotype variables. We analyzed the existing data from our intervention study with 17 persons. First, we focu...

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Autores principales:	Taku Obara, Mami Ishikuro, Gen Tamiya, Masao Ueki, Chizuru Yamanaka, Satoshi Mizuno, Masahiro Kikuya, Hirohito Metoki, Hiroko Matsubara, Masato Nagai, Tomoko Kobayashi, Machiko Kamiyama, Mikako Watanabe, Kazuhiko Kakuta, Minami Ouchi, Aki Kurihara, Naru Fukuchi, Akihiro Yasuhara, Masumi Inagaki, Makiko Kaga, Shigeo Kure, Shinichi Kuriyama
Formato:	article
Lenguaje:	EN
Publicado:	Nature Portfolio 2018
Materias:	Autism Spectrum Disorder Pyridoxine Responsiveness Selectable Phenotypic Variation Plasma Glutamine Levels Conducted Hypothesis Testing Medicine R Science Q
Acceso en línea:	https://doaj.org/article/1f5f4b7d0ff14717814b4720f3836f62
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Potential identification of vitamin B6 responsiveness in autism spectrum disorder utilizing phenotype variables and machine learning methods

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