Detecting and classifying drug interaction using data mining techniques
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Tarih
2022
Dergi Başlığı
Dergi ISSN
Cilt Başlığı
Yayıncı
Institute of Electrical and Electronics Engineers Inc.
Erişim Hakkı
info:eu-repo/semantics/closedAccess
Özet
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.
Açıklama
Anahtar Kelimeler
Classification, Data Mining, Drug Interaction
Kaynak
ISMSIT 2022 - 6th International Symposium on Multidisciplinary Studies and Innovative Technologies, Proceedings
WoS Q Değeri
Scopus Q Değeri
N/A
Cilt
Sayı
Künye
Yaseen, 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.
