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Proceedings of the 2023 Eighth International Conference on Research in Intelligent Computing in Engineering

Annals of Computer Science and Information Systems, Volume 38

An Efficient Ontology Based Drug Prescription Model

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DOI: http://dx.doi.org/10.15439/2023R59

Citation: Proceedings of the 2023 Eighth International Conference on Research in Intelligent Computing in Engineering, Pradeep Kumar, Manuel Cardona, Vijender Kumar Solanki, Tran Duc Tan, Abdul Wahid (eds). ACSIS, Vol. 38, pages 11–15 ()

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Abstract. Medication is a process of prescribing medicines by knowledgeable physicians. Medicines which are not prescribed when consumed may generate side effects. Some diseases require more than one drug to control the disease. If drugs are not carefully prescribed adverse reactions may happen. Meny people died due to medical errors in prescribing medicines by medical practitioners based on their experience. For avoiding all these adverse effects, we need a recommendation system or a decision support system for efficiently prescribing medicines. Many parameters need to be considered before prescribing the medicines like patient's age, medical history, side effects of drugs, possible allergies, drug-drug interactions, drug-disease interactions and drug-food interactions. Semantic web provides tools and technologies like ontologies to construct recommendation models and can retrieve data using tools like SPARQL and inference mechanisms to infer new knowledge.

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