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.
Type:
Application
Filed:
January 10, 2013
Publication date:
July 11, 2013
Applicant:
The Board of Trustees for the Leiand Stanford, Junior, University
Inventor:
The Board of Trustees for the Leiand Stanford, Junior, University