Creation of novel large dataset comprising several granulation methods and the prediction of tablet properties from critical material attributes and critical process parameters using regularized linear regression models including interaction terms

Takuya Oishi, Yoshihiro Hayashi^*, Miho Noguchi, Fumiaki Yano, Shungo Kumada, Kozo Takayama, Kotaro Okada, Yoshinori Onuki

^*この論文の責任著者

研究成果: ジャーナルへの寄稿 › 学術論文 › 査読

15 被引用数 (Scopus)

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「Creation of novel large dataset comprising several granulation methods and the prediction of tablet properties from critical material attributes and critical process parameters using regularized linear regression models including interaction terms」の研究トピックを掘り下げます。これらがまとまってユニークなフィンガープリントを構成します。

Creation of novel large dataset comprising several granulation methods and the prediction of tablet properties from critical material attributes and critical process parameters using regularized linear regression models including interaction terms

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Keyphrases

Engineering

Agricultural and Biological Sciences

Pharmacology, Toxicology and Pharmaceutical Science

Food Science

Material Science