A novel machine learning model based on sparse structure learning with adaptive graph regularization for predicting drug side effects.
Drug side effects are closely related to the success and failure of drug development. Here we present a novel machine learning method for side effect prediction. The proposed method treats side effect prediction as a multi-label learning problem and uses sparse structure learning to model the relati...
| Publicado en: | Journal of Biomedical Informatics Vol. 132 |
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| Autores principales: | , , , , , |
| Formato: | research Journal Article |
| Publicado: |
Academic Press Inc.
Aug2022
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| Acceso en línea: | Ver este registro en EBSCOhost |