Evaluating automated entity extraction with respect to drug and non-drug treatment strategies
نویسندگان
چکیده
منابع مشابه
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Drug-drug interactions (DDIs) are a common source of preventable medical errors in inpatient and outpatient settings of both developed and developing countries. When two or more drugs are simultaneously prescribed, interactions between their effects may result in preventable adverse events such as damages to vital organs, frequent hospitalizations, prolonged length of hospital stay, and increas...
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Drug-drug interactions (DDIs) are a common source of preventable medical errors in inpatient and outpatient settings of both developed and developing countries. When two or more drugs are simultaneously prescribed, interactions between their effects may result in preventable adverse events such as damages to vital organs, frequent hospitalizations, prolonged length of hospital stay, and increas...
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The DDIExtraction 2013 task in the SemEval conference concerns the detection of drug names and statements of drug-drug interactions (DDI) from text. Extraction of DDIs is important for providing up-to-date knowledge on adverse interactions between coadministered drugs. We apply the machine learning based Turku Event Extraction System to both tasks. We evaluate three feature sets, syntactic feat...
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ژورنال
عنوان ژورنال: Journal of Biomedical Informatics
سال: 2019
ISSN: 1532-0464
DOI: 10.1016/j.jbi.2019.103177