Exploring the use of a network model in drug prescription support for dental clinics

Goh, Wee Pheng and Tao, Xiaohui and Zhang, Ji and Yong, Jianming and Qin, Yongrui and Goh, Elizabeth Zhixin and Hu, Aimin (2018) Exploring the use of a network model in drug prescription support for dental clinics. In: 5th International Conference on Behavioral, Economic, and Socio-Cultural Computing (BESC 2018), 12-14 Nov 2018, Taiwan.

Text (Accepted Version)

Download (206Kb) | Preview


With more patients taking multiple medications and the increasing digital availability of diagnostic data such as treatment notes and x-ray images, the importance of decision support systems to help dentists in their treatment planning cannot be over emphasised. Based on the hypothesis that a higher similarity ratio between drugs in a drug-pair indicates that the combination of the drug-pair has a higher chance of an adverse interaction, this paper describes an efficient approach in extracting feature vectors from the drugs in a drug-pair to compute the similarity ratio between them. The feature vectors are obtained through a network model where the information of the drugs are represented as nodes and the relationships between them represented as edges. Experimental evaluation of our model yielded a superior F score of 74%. The use of a network model will drive research efforts into more efficient data-mining algorithms for information retrieval, similarity search and machine learning. Since it is important to avoid drug allergies when prescribing drugs, our work when integrated within the clinical work-flow will reduce prescription errors thereby increasing health outcomes for patients.

Statistics for USQ ePrint 35593
Statistics for this ePrint Item
Item Type: Conference or Workshop Item (Commonwealth Reporting Category E) (Paper)
Refereed: Yes
Item Status: Live Archive
Additional Information: Accepted version deposited in accordance with the copyright policy of the publisher.
Faculty/School / Institute/Centre: Current - Faculty of Health, Engineering and Sciences - School of Agricultural, Computational and Environmental Sciences
Date Deposited: 14 May 2019 01:29
Last Modified: 14 May 2019 01:29
Uncontrolled Keywords: drug adverse interaction, clinical decision support, network model, drug prescription
Fields of Research : 08 Information and Computing Sciences > 0806 Information Systems > 080605 Decision Support and Group Support Systems
08 Information and Computing Sciences > 0801 Artificial Intelligence and Image Processing > 080107 Natural Language Processing
08 Information and Computing Sciences > 0807 Library and Information Studies > 080702 Health Informatics
Identification Number or DOI: 10.1109/BESC.2018.00042
URI: http://eprints.usq.edu.au/id/eprint/35593

Actions (login required)

View Item Archive Repository Staff Only