Potential identification of vitamin B6 responsiveness in autism spectrum disorder utilizing phenotype variables and machine learning methods-Reference-Cited by-同舟云学术

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

Published:2018-10-04 Issue:1 Volume:8 Page:
ISSN:2045-2322
Container-title:Scientific Reports
language:en
Short-container-title:Sci Rep

Author:

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

Funder

Ministry of Education, Culture, Sports, Science, and Technology

Publisher

Springer Science and Business Media LLC

Subject

Multidisciplinary

Link

http://www.nature.com/articles/s41598-018-33110-w.pdf

Reference37 articles.

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3. Thabtah, F. Machine learning in autistic spectrum disorder behavioral research: a review and ways forward. Inform Health Soc Care. Feb 13, 1–20, https://doi.org/10.1080/17538157.2017.139913210.1080/17538157.2017.1399132 [Epub ahead of print] (2018).