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Dr. Query: A Predictive Mobile-Based Healthcare Tool for Querying Drug
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Author(s): Megha Rathi (Jaypee Institute of Information Technology, Noida, India), Vaibhav Grover (Jaypee Institute of Information Technology, Noida, India)and Twinkle Kheterpal (Jaypee Institute of Information Technology, Noida, India)
Copyright: 2020
Volume: 11
Issue: 1
Pages: 21
Source title:
International Journal of Swarm Intelligence Research (IJSIR)
Editor(s)-in-Chief: Yuhui Shi (Southern University of Science and Technology (SUSTech), China)
DOI: 10.4018/IJSIR.2020010103
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Abstract
Drugs can help us to treat disease, but sometimes medication can cause severe side effects. With a little knowledge, one can have drugs that are intended to prevent or avoid adverse outcome. Recognizing potential drugs enhances the quality of the healthcare system and reduces the risk associated with drug intake. Several factors like drug-drug interactions and side effects should be known to us before we intake drugs. So, the authors' motive is to develop a predictive mobile-based healthcare tool that would help drug consumers to find drugs which suit them best. As an outcome, the tool will provide the names of the top 10 medicines that will be best for specified indications and do not cause specified side effects and do not or least interact with mentioned drugs. Proposed mobile-based drug query tool will provide exact query matching drugs as well as close matches by leveraging machine learning in the tool.
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