Data mining methods that can transform data into meaningful knowledge to inform patient safety have proven to be essential. New opportunities have emerged to ...
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What are the applications of data mining techniques in healthcare?
What are the application of data mining techniques in pharmacovigilance?
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To discuss the potential use of data mining and knowledge discovery in databases for detection of adverse drug events (ADE) in pharmacovigilance.
This study aimed to analyse cardiac therapy drug-related AEs using the Jinan adverse event reporting system (JAERS) database mining and conduct a comprehensive ...
The objective of this paper is to automatically detect cases of ADEs by data mining. 115,447 complete past hospital stays are extracted from six French, Danish, ...
Aug 20, 2018 · In this paper we summarize the current data mining tools and methods the FDA uses to identify safety signals.
Jul 23, 2015 · The FDA's safety reports databases are analyzed with routine and prototype data mining methods and tools, which are described in detail below.
Data mining has gained an important role during all stages of drug development, from drug discovery to post-marketing surveillance.
Clinical process analysis and activity-based costing (ABC)/management systems are applicable and can be used as managerial tools for medical practice. The ...
Data mining algorithms have been developed to identify drug-associated adverse events (signals) that are reported more frequently than expected by estimating ...
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Dec 24, 2021 · This study aims to demonstrate the feasibility of automating the coding of adverse events described in the narrative section of the serious adverse event ...
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