Signal detection algorithms to identify drug effects and drug interactions

US9305267B2 · kind B2 · utility

Assignee

• The Board of Trustees of the Leland Stanford Junior University · US

Inventors

• Nicholas Tatonetti · New York, US
• Russ B. Altman · Menlo Park, US
• Guy Haskin Fernald · San Francisco, US

Key dates

• Filing date: Jan 10, 2013
• Grant date: Apr 5, 2016
• Expiry date: Apr 26, 2033

Classification

• Technology area (CPC G): Physics
• CPC primary: G16H70/40
• WIPO field: Medical technology
• WIPO sector: Instruments

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.