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  • About
  • The Global ETD Search service is a free service for researchers to find electronic theses and dissertations. This service is provided by the Networked Digital Library of Theses and Dissertations.
    Our metadata is collected from universities around the world. If you manage a university/consortium/country archive and want to be added, details can be found on the NDLTD website.

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Spelling suggestions: "subject:"drug site effect"" "subject:"drug sido effect""

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Establishing advanced deep learning models for predicting drug side effects / 薬物の副作用を予測するための高度なディープラーニングモデルの構築

NGUYEN, DUC ANH 23 March 2023 (has links)
京都大学 / 新制・課程博士 / 博士(薬科学) / 甲第24559号 / 薬科博第176号 / 新制||薬科||19(附属図書館) / 京都大学大学院薬学研究科医薬創成情報科学専攻 / (主査)教授 馬見塚 拓, 教授 山下 富義, 教授 金子 周司 / 学位規則第4条第1項該当 / Doctor of Pharmaceutical Sciences / Kyoto University / DFAM
Drug side effect
Drug-drug interaction
Prediction model
Deep learning
Hypergraph neural network
Latent feature
Interpretation
499.3

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