Please use this identifier to cite or link to this item: http://hdl.handle.net/20.500.11889/7117
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dc.contributor.authorYahya, Adnanen_US
dc.contributor.authorSalameh, Halaen_US
dc.contributor.authorBelbeisi, Maramen_US
dc.contributor.authorShamasneh, Nooren_US
dc.date.accessioned2022-08-23T08:02:45Z-
dc.date.available2022-08-23T08:02:45Z-
dc.date.issued2022-10-02-
dc.identifier.citationAdnan Yahya, Hala Salameh, Maram Belbeisi and Noor Shamasneh. Information Extraction from Arabic Medications Leaflets. The 16th IEEE International Conference Application of Information and Communication Technologies (AICT2022). 12-14 Oct 2022 | Washington DC, USAen_US
dc.identifier.urihttp://hdl.handle.net/20.500.11889/7117-
dc.description.abstractMaking information in electronic documents easily accessible has been a major concern over the past years. There has been increasing interest in gleaning information from unstructured text and presenting it as structured data using information extraction (IE). Since Arabic has seen major growth in web content, mainly unstructured text, the need for IE from Arabic documents has gained importance. The processing capacity needed for IE far exceeds human ability to extract knowledge manually. The medical field is one such area, where awareness of health issues makes the task of automating medical informatics crucial for better access to medical knowledge. Thus, work on extracting information from medical documents has increased rapidly. In this paper we address the issue of IE from Arabic drug leaflets. We use a combination of rule-based, machine learning and deep learning methods and employ a suit of tools that account for the particularities of Arabic to extract information from Arabic drug package inserts to make this information available in structured form and thus better accessible to regular users and health care providers. A prototype system that utilizes the IE results was developed with useful functionality such as alerting to possible Adverse Drug Reactions (ADR) and finding drug alternatives.en_US
dc.language.isoen_USen_US
dc.publisherIEEEen_US
dc.subjectArabic Information Extractionen_US
dc.subjectNatural language processing (Computer science) - Arab countriesen_US
dc.subjectMedical informaticsen_US
dc.subjectMedicine - Data processingen_US
dc.subjectProcessing drug insertsen_US
dc.titleInformation extraction from Arabic medications leafletsen_US
dc.typeArticleen_US
dcterms.creatorYahya, Adnanen_US
newfileds.departmentEngineering and Technologyen_US
newfileds.item-access-typebzuen_US
newfileds.thesis-prognoneen_US
newfileds.general-subjectComputers and Information Technology | الحاسوب وتكنولوجيا المعلوماتen_US
dc.relation.conferenceThe 16th IEEE International Conference Application of Information and Communication Technologies 12-14 Oct 2022 | Washington DCen_US
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item.grantfulltextopen-
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