A Proportional Exploration Context to Categorize Drug Datasets by Deep Learning Methodologies

Volume 20 No 2 (2022)

Himani Sivaraman

DOI: 10.48047/nq.2022.20.2.NQ22348

Abstract

Artificial intelligence affects the life of all’s as it is now everywhere, whether it be medical life science, animal science, agriculture science, stock engineering, economy prediction, weather forecasting, archaeology and so on. As it made our life more ease and provide accurate data, due to machine learning and deep learning methods it have. In this article we check it’s one of the applications of presence of drug in different datasets using prediction and detection of deep learning methods. Multiple techniques are available for this; here we compare all other techniques like KNN, RF, LR with ACDBN and IMNB

Keywords

Deep learning, Drug datasets, prediction, AI, ML

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