Detecting and classifying drug interaction using data mining techniques

Yaseen, Baraa TahaKurnaz, SeferAhmed, Saadaldeen Rashid2022-12-272022-12-272022Yaseen, B. T., Kurnaz, S., Ahmed, S. R. (2022). Detecting and classifying drug interaction using data mining techniques. In 2022 International Symposium on Multidisciplinary Studies and Innovative Technologies (ISMSIT) (pp. 952-956). IEEE.9781665470131https://hdl.handle.net/20.500.12939/3165Thousands 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.eninfo:eu-repo/semantics/closedAccessClassificationData MiningDrug InteractionDetecting and classifying drug interaction using data mining techniquesConference Object9529562-s2.0-85142807271N/A