This work proposes an AI-driven system that consolidates disparate information sources, including patient demographics, medical history, and pharmacological properties of drugs, to enable early and accurate prediction of ADRs, and uses machine learning models to model complex relationships and generate predictive insig...
E. Chavan, Madhavi Kapre, Shubhangi Andhale et al.· Proceedings of the 1st Inter...· 0 citations
This paper introduces an interpretable deep learning defence framework in the context of user anomaly detection for both IaaS and PaaS cloud service layers and SaaS application layer and shows that the detection accuracy and F1-score are much higher than those of the conventional rule-based and black-box deep learning...
Madhavi Kapre, P. Sahu, Raman Verma et al.· Journal of Intelligent Decis...· 0 citations
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