Detecting Adverse Drug Events with Rapidly Trained Classification Models
نویسندگان
چکیده
منابع مشابه
Information technology for detecting medication errors and adverse drug events.
It is estimated that over three-quarters of a million people are injured or die in hospitals each year from adverse drug events (ADEs). The majority of medical errors result from poorly designed healthcare systems rather than from negligence on the part of healthcare providers. In general, healthcare systems rely on voluntary reporting, which seriously underestimates the number of medication er...
متن کاملDetecting Adverse Drug Reactions Using a Sentiment Classification Framework
Medical blogs and forums are a source of sentiment oriented content that is used in diverse applications including post-marketing drug surveillance, competitive intelligence and the assessment of health-related opinions and sentiments for detecting adverse drug reactions. However applying existing tools for sentiment analysis to health-related datasets provides inadequate classification accurac...
متن کاملAdverse drug events and medication errors: detection and classification methods.
Investigating the incidence, type, and preventability of adverse drug events (ADEs) and medication errors is crucial to improving the quality of health care delivery. ADEs, potential ADEs, and medication errors can be collected by extraction from practice data, solicitation of incidents from health professionals, and patient surveys. Practice data include charts, laboratory, prescription data, ...
متن کاملJoint Models for Extracting Adverse Drug Events from Biomedical Text
Extracting adverse drug events receives much research attention in the biomedical community. Previous work adopts pipeline models, firstly recognizing drug/disease entity mentions and then identifying adverse drug events from drug/disease pairs. In this paper, we investigate joint models for simultaneously extracting drugs, diseases and adverse drug events. Compared with pipeline models, joint ...
متن کاملAnticoagulation-associated adverse drug events.
PURPOSE Anticoagulant drugs are among the most common medications that cause adverse drug events (ADEs) in hospitalized patients. We performed a 5-year retrospective study at Brigham and Women's Hospital to determine clinical characteristics, types, root causes, and outcomes of anticoagulant-associated ADEs. METHODS We reviewed all inpatient anticoagulant-associated ADEs, including adverse dr...
متن کاملذخیره در منابع من
با ذخیره ی این منبع در منابع من، دسترسی به آن را برای استفاده های بعدی آسان تر کنید
ژورنال
عنوان ژورنال: Drug Safety
سال: 2019
ISSN: 0114-5916,1179-1942
DOI: 10.1007/s40264-018-0763-y