Signal Detection Algorithms To Identify Drug Effects And Drug Interactions

Abstract

An algorithm according to an embodiment of the present invention provides for latent signal detection of adverse events. Embodiments infer the presence of adverse drug events from large observational databases housed by the FDA, WHO, and other governmental organizations. The disclosed algorithms do not require the adverse event to be reported explicitly. Instead, the algorithms infer the presence of adverse events through more common secondary effects. In an embodiment, machine learning techniques are used for this purpose.


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Document History
  • Publication: Apr 5, 2016
  • Application: Jan 10, 2013
    US US 201313738966 A
  • Priority: Jan 10, 2013
    US US 201313738966 A
  • Priority: Jan 10, 2012
    US US 201261585198 P

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