Drug safety and big clinical data: Detection of drug-induced anaphylactic shock events
نویسندگان
چکیده
منابع مشابه
Patient Safety: Detection and Prevention of Adverse Drug Events
Adverse Drug Events (ADE) represent a key problem in Public Health. The detection and prevention of ADE is a real challenge for hospitals and healthcare professionals. Healthcare Information and Communication Technologies can contribute to reduce the incidence of preventable ADE. During this workshop, we will discuss the various aspects of detection of ADE through methods like data and semantic...
متن کاملAcute symptoms of drug hypersensitivity (urticaria, angioedema, anaphylaxis, anaphylactic shock).
Drug hypersensitivity reactions (HSRs) are the adverse effects of drugs which, when taken at doses generally tolerated by normal subjects, clinically resemble allergy. Immediate-reaction of drug HSRs are those that occur less than 1 hour after the last drug intake, usually in the form of urticaria, angioedema, rhinitis, conjunctivitis, bronchospasm, and anaphylaxis or anaphylactic shock. Acute ...
متن کاملAutomatic adverse drug events detection: data agregation and data mining
Adverse drug events (ADEs) are a public health issue. The objective of this work is to data-mine electronic health records in order to automatically identify ADEs and generate alert rules to prevent those ADEs. The first step of data-mining is to transform native and complex data into a set of binary variables that can be used as causes and effects. The second step is to identify cause-toeffect...
متن کاملClinical Laboratory Safety Data in Drug Studies
Clinical laboratory measurements are an integral component of most drug studies for two major reasons, firstly to act as an efficacy endpoint in monitoring the success or otherwise of therapy and secondly to ensure patient safety on any new drug or reformulation. The pharmaceutical industry rarely employs physicians and scientists with expertise in clinical laboratory medicine. As such, there i...
متن کاملHandling Temporality of Clinical Events for Drug Safety Surveillance
Using longitudinal data in electronic health records (EHRs) for post-marketing adverse drug event (ADE) detection allows for monitoring patients throughout their medical history. Machine learning methods have been shown to be efficient and effective in screening health records and detecting ADEs. How best to exploit historical data, as encoded by clinical events in EHRs is, however, not very we...
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: Journal of Evaluation in Clinical Practice
سال: 2018
ISSN: 1356-1294
DOI: 10.1111/jep.12908