Skin Sensitization Potency Prediction of Ingredients in Hair Colorants Using in silico Models of Machine Learning

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Skin Sensitization Potency Prediction of Ingredients in Hair Colorants Using in silico Models of Machine Learning

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Material Type: 記事
Title: Skin Sensitization Potency Prediction of Ingredients in Hair Colorants Using in silico Models of Machine Learning
Author/Editor: Takao ASHIKAGA
Kazuto NARITA
Mutsumi KOBAYASHI
Shigehiro TACHIBANA
Wataru MURASAKI
Masaharu SUZUKI
Kaori AMBE
Masahiro TOHKIN
Author Heading: Takao ASHIKAGA
Kazuto NARITA
Mutsumi KOBAYASHI
Shigehiro TACHIBANA
Wataru MURASAKI
Masaharu SUZUKI
Kaori AMBE
Masahiro TOHKIN
Periodical title: 日本香粧品学会誌
No. or year of volume/issue: 47(1):2023.3
Volume: 47
Issue: 1
Pages: 1-5
Publication date of volume/issue (W3CDTF): 2023-03
ISSN (Periodical Title): 1880-2532
ISSN-L (Periodical Title): 1880-2532
Publication (Periodical Title): 東京 : 日本香粧品学会
Place of Publication (Country Code): JP
Text Language Code: eng
NDLC: ZP25
Target Audience: 一般
Holding library: 国立国会図書館
Call No.: Z17-917
Data Provider (Database): 国立国会図書館 : 国立国会図書館雑誌記事索引
https://ndlsearch.ndl.go.jp
Bibliographic ID (NDL): 032841281
http://id.ndl.go.jp/bib/032841281
Bibliographic Record Category (NDL): 632