Detecting and Classifying Drug Interaction using Data mining Techniques
Authors:
- 20 October 2022
- conference paper
- Published by Institute of Electrical and Electronics Engineers (IEEE)
- p. 952-956
Abstract
Thousands of licensed drugs are now available to patients. The Warnings and Precautions section of a medication's label was created to identify and characterize severe or clinically significant adverse reactions and other potential safety issues. This method gathers a patient's gender, age, pregnancy status, and current health issues. The suggested method involves data collecting and analysis. We visited DINTO, DrugBank, RxNorm, and the FDA while gathering data. Test findings showed the suggested instrument was accurate (96%) and efficient.Keywords
This publication has 2 references indexed in Scilit:
- Normalized names for clinical drugs: RxNorm at 6 yearsJournal of the American Medical Informatics Association, 2011
- Potential drug-drug and drug-disease interactions in prescriptions for ambulatory patients over 50 years of age in family medicine clinics in Mexico CityBMC Health Services Research, 2007