WITHDRAWN: Experimental evaluation of Mechatronics based cushioning performance in hydraulic cylinder

Sherje, Nitin; Agrawal, Sameer; Umbarkar, Ashish M.; Dharme, Ashish M.; Dhabliya, Dharmesh

doi:10.1016/j.matpr.2020.12.1021

Cited by 5 publications

(1 citation statement)

References 56 publications

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“…In recent years, there has been an explosion in the number of easily available datasets and semi-structured references that include drug reports and knowledge about DDIs. Two examples of these are Drug-Bank and RxNorm [18]. DrugBank is a comprehensive online database that includes broad pharmacological and biochemical data on medications, which justifies their treatment techniques and their goals.…”

Section: Drug Databasesmentioning

confidence: 99%

Hybrid Feature Extraction and Selection Techniques for Drugs Classifier System Based on Machine Learning

Gaikwad¹

2023

cienc.eng.

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Nowadays, there are thousands of approved drugs that can be used for treating people who have medical problems. Therefore, drug warnings and precautions are denoted to recognize a discrete set of adverse effects and other implied protection uncertainties that are useful for patient control. Methods/analysis/findings: In this study, the intended framework is divided into two principal stages: data retrieval and data processing. Firstly, in the data collection stage, drug reports, drug interactions, malfunctions, number of deaths, and other factors had been obtained from various references, including RxNorm and Drug Bank using web service. Secondly, in the data processing phase, different data mining algorithms used to classify drugs into suitable drugs and non-suitable drugs. Application/improvements: According to the experimental results, we found that the decision tree has more accuracy (97.9%) than other state-of-art methods.

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Section: Drug Databasesmentioning

confidence: 99%