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

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 focused on si...

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Detalles Bibliográficos
Autores principales: Obara, Taku, Ishikuro, Mami, Tamiya, Gen, Ueki, Masao, Yamanaka, Chizuru, Mizuno, Satoshi, Kikuya, Masahiro, Metoki, Hirohito, Matsubara, Hiroko, Nagai, Masato, Kobayashi, Tomoko, Kamiyama, Machiko, Watanabe, Mikako, Kakuta, Kazuhiko, Ouchi, Minami, Kurihara, Aki, Fukuchi, Naru, Yasuhara, Akihiro, Inagaki, Masumi, Kaga, Makiko, Kure, Shigeo, Kuriyama, Shinichi
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Nature Publishing Group UK 2018
Materias:
Article
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC6172273/
https://www.ncbi.nlm.nih.gov/pubmed/30287864
http://dx.doi.org/10.1038/s41598-018-33110-w

Internet

https://www.ncbi.nlm.nih.gov/pmc/articles/PMC6172273/
https://www.ncbi.nlm.nih.gov/pubmed/30287864
http://dx.doi.org/10.1038/s41598-018-33110-w

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