Naz, Tabbasum and Akhtar, Muhammad and Shahzad, Syed Khuram and Fasli, Maria and Iqbal, Muhammad Waseem and Naqvi, Muhammad Raza (2020) Ontology-driven advanced drug-drug interaction. Computers and Electrical Engineering, 86. p. 106695. DOI https://doi.org/10.1016/j.compeleceng.2020.106695
Naz, Tabbasum and Akhtar, Muhammad and Shahzad, Syed Khuram and Fasli, Maria and Iqbal, Muhammad Waseem and Naqvi, Muhammad Raza (2020) Ontology-driven advanced drug-drug interaction. Computers and Electrical Engineering, 86. p. 106695. DOI https://doi.org/10.1016/j.compeleceng.2020.106695
Naz, Tabbasum and Akhtar, Muhammad and Shahzad, Syed Khuram and Fasli, Maria and Iqbal, Muhammad Waseem and Naqvi, Muhammad Raza (2020) Ontology-driven advanced drug-drug interaction. Computers and Electrical Engineering, 86. p. 106695. DOI https://doi.org/10.1016/j.compeleceng.2020.106695
Abstract
The rapid growth of data in the pharmaceutical area has created new challenges for large-scale data mining like Drug-Drug Interaction (DDI) analysis. To meet these challenges, various types of data related to DDI must be integrated with true semantics. However, the existing tools do not provide automated DDI analysis. Interaction details are not machine readable and pharmacists need to do further processing for its extraction. This research paper proposed an ontology-driven Advanced Drug-Drug Interaction (ADDI) system to assists the physicians and pharmacists to identify the DDI effects. ADDI provides ontological definitions and semantic relations among diseases, drugs, ingredients, action mechanism, physiologic effect, dosage formation, administration methods, DDI mechanism, DDI types (Antagonism, Synergism, Potentiation, and Interaction with metabolism), DDI reactions, their frequency and duration. It can be used as Semantic Information Layer (SIL) to resolve the heterogeneity problem and can play a significant role to remove the barriers for semantic interoperability.
Item Type: | Article |
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Uncontrolled Keywords: | Drug-drug interaction; Pharmacy semantics; Drug ontologies; Pharmaceutical informatics |
Divisions: | Faculty of Science and Health > Computer Science and Electronic Engineering, School of |
SWORD Depositor: | Unnamed user with email elements@essex.ac.uk |
Depositing User: | Unnamed user with email elements@essex.ac.uk |
Date Deposited: | 30 Jun 2025 15:15 |
Last Modified: | 30 Jun 2025 15:16 |
URI: | http://repository.essex.ac.uk/id/eprint/41203 |