Goh, Wee and Tao, Xiaohui and Zhang, Ji and Yong, Jianming (2017) Mining drug properties for decision support in dental clinics. In: 21st Pacific-Asia Conference on Knowledge Discovery and Data Mining (PAKDD 2017) , 23-26 May 2017, Jeju, South Korea .
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Text (Accepted Version)
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Abstract
The rise of polypharmacy requires from health providers an
awareness of a patient's drug profile before prescribing. Existing methods to extract information on drug interactions do not integrate with the patient's medical history. This paper describes state-of-the-art approaches
in extracting the term frequencies of drug properties and combining this knowledge with consideration of the patient's drug allergies and current medications to decide if a drug is suitable for prescription. Experimental
evaluation of our models association of the similarity ratio between two drugs (based on each drug's term frequencies) with the similarity between them yields a superior accuracy of 77%. Similarity to a drug the patient
is allergic to or is currently taking are important considerations as to the suitability of a drug for prescription. Hence, such an approach, when integrated within the clinical work ow, will reduce prescription errors
thereby increasing the health outcome of the patient.
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| Item Type: | Conference or Workshop Item (Commonwealth Reporting Category E) (Paper) |
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| Refereed: | Yes |
| Item Status: | Live Archive |
| Additional Information: | No evidence of copyright restrictions preventing deposit of Accepted version. |
| Faculty / Department / School: | Current - Faculty of Health, Engineering and Sciences - School of Agricultural, Computational and Environmental Sciences |
| Date Deposited: | 24 Jan 2017 01:37 |
| Last Modified: | 21 May 2018 02:28 |
| Uncontrolled Keywords: | adverse relationship; drug allergy; drug properties; knowledge-base; personalised prescription; similarity ratio; term frequency |
| Fields of Research : | 08 Information and Computing Sciences > 0806 Information Systems > 080605 Decision Support and Group Support Systems 08 Information and Computing Sciences > 0803 Computer Software > 080301 Bioinformatics Software |
| URI: | http://eprints.usq.edu.au/id/eprint/30360 |
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