Detecting and Classifying Drug Interaction using Data mining Techniques
Baraa Taha Yaseen, Sefer Kurnaz, Saadaldeen Rashid Ahmed
20222022 International Symposium on Multidisciplinary Studies and Innovative Technologies (ISMSIT)55 citationsDOI
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.
Topics & Concepts
DrugBankComputer scienceTest (biology)Data scienceDrugData miningMedicinePharmacologyBiologyPaleontologyPharmacovigilance and Adverse Drug ReactionsPharmaceutical Quality and CounterfeitingBiomedical Text Mining and Ontologies