Invention Grant
US09305267B2 Signal detection algorithms to identify drug effects and drug interactions
有权
信号检测算法来识别药物作用和药物相互作用
- Patent Title: Signal detection algorithms to identify drug effects and drug interactions
- Patent Title (中): 信号检测算法来识别药物作用和药物相互作用
-
Application No.: US13738966Application Date: 2013-01-10
-
Publication No.: US09305267B2Publication Date: 2016-04-05
- Inventor: Nicholas Tatonetti , Russ B. Altman , Guy Haskin Fernald
- Applicant: The Board of Trustees of the Leland Stanford Junior University
- Applicant Address: US CA Stanford
- Assignee: The Board of Trustees of the Leland Stanford Junior University
- Current Assignee: The Board of Trustees of the Leland Stanford Junior University
- Current Assignee Address: US CA Stanford
- Agency: KPPB LLP
- Main IPC: G06F15/18
- IPC: G06F15/18 ; G06N99/00 ; G06F19/00

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.
Public/Granted literature
- US20130179375A1 Signal Detection Algorithms to Identify Drug Effects and Drug Interactions Public/Granted day:2013-07-11
Information query