Automatic Classification Of Discharge Letters To Detect Adverse Drug Reactions
DIGITAL PERSONALIZED HEALTH AND MEDICINE(2020)
摘要
Adverse drug reactions (ADRs) are frequent and associated to significant morbidity, mortality and costs. Therefore, their early detection in the hospital context is vital. Automatic tools could be developed taking into account structured and textual data. In this paper, we present the methodology followed for the manual annotation and automatic classification of discharge letters from a tertiary hospital. The results show that ADRs and causal drugs are explicitly mentioned in the discharge letters and that machine learning algorithms are efficient for the automatic detection of documents containing mentions of ADRs.
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关键词
Adverse drug reaction, pharmacovigilance, text mining, document classification, supervised machine learning
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