Analysis of Adverse Drug Reaction Reports using Text Mining
نویسندگان
چکیده
منابع مشابه
Searching Adverse Drug Reaction Signal Pairs Using Mining Association
In this paper, propose an innovative data mining framework and apply it to mine potential causal associations in electronic patient data sets where the drug-related events of interest occur infrequently.Specifically, created a novel interestingness measure, exclusive causal-leverage, based on a computational, fuzzy recognition-primed decision (RPD) model that we previously developed. On the bas...
متن کاملHow to promote adverse drug reaction reports using information systems – a systematic review and meta-analysis
BACKGROUND Adverse drug reactions (ADRs) are a well-recognized public health problem and a major cause of death and hospitalization in developed countries. The safety of a new drug cannot be established until it has been on the market for several years. Keeping drug reactions under surveillance through pharmacovigilance systems is indispensable. However, underreporting is a major issue that und...
متن کاملAdverse Drug Reaction Mining in Pharmacovigilance Data Using Formal Concept Analysis
In this paper we discuss the problem of extracting and evaluating associations between drugs and adverse effects in pharmacovigilance data. Approaches proposed by the medical informatics community for mining one drug one effect pairs perform an exhaustive search strategy that precludes from mining high-order associations. Some specificities of pharmacovigilance data prevent from applying patter...
متن کاملRegression analysis of biased case-control data with application to spontaneous adverse drug reaction reports
The data obtained from case-control sampling may suffer from selection or reporting bias, resulting in biased estimation of the parameter(s) of interest by standard analysis of case-control data. In this work, the problem of reporting bias is dealt with by introducing the concept of reporting probability. Then, considering a reference sample from the source population, we obtain unbiased estima...
متن کاملMining Adverse Drug Reaction Mentions in Twitter with Word Embeddings
This paper describes our system used in the PSB 2016 Workshop on Social Mining Shared Task for adverse drug reaction (ADR) extraction in Twitter. Our system uses Conditional Random Fields to train a classifier for extracting ADR mentions. We leverage word representations from large amount of unlabeled tweets, both drug related and generic. Our experiment results show that cluster features deriv...
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: Korean Journal of Clinical Pharmacy
سال: 2017
ISSN: 1226-6051,2508-786X
DOI: 10.24304/kjcp.2017.27.4.221