Detecting and Classifying Drug Interaction using Data mining Techniques

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...

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Bibliographic Details
Main Authors: Yaseen, Baraa Taha, Kurnaz, Sefer, Ahmed, Saadaldeen Rashid
Format: Conference Proceeding
Language:English
Subjects:
Classification
Data mining
Decision making
Drug Interaction
Drugs
Hazards
Instruments
Medical diagnostic imaging
Pregnancy
Online Access:Request full text
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Description
Summary: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.
ISSN:2770-7962
DOI:10.1109/ISMSIT56059.2022.9932652