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.
Please help me write a proper abstract based on the patent claims. CLAIM: 1. A computer-implemented method for detection of latent signals in adverse event information, comprising: receiving a set of adverse event information; identifying a first adverse event; identifying a second set of adverse events from the first set of adverse events that are associated with the first adverse event; receiving a training dataset; training a predictive model using the second set of events and the training dataset; and applying the predictive model to a test dataset to determine hidden adverse events.