Adam Sullivan,Francesco Nicolo,Steve Szymkiewicz,Gary A. Freeman,Gregory R. Frank,Jason T. Whiting,Steve Ringquist,Thomas E. Kaib,Binwei Weng,Guy R. Johnson
申请号：
US14941302
公开号：
US20160135706A1
申请日:
2015.11.13
申请国别(地区):
US
年份:
2016
代理人:
摘要：
A system and method for medical premonitory event estimation includes one or more processors to perform operations comprising: acquiring a first set of physiological information of a subject, and a second set of physiological information of the subject received during a second period of time； calculating first and second risk scores associated with estimating a risk of a potential cardiac arrhythmia event for the subject based on applying the first and second sets of physiological information to one or more machine learning classifier models, providing at least the first and second risk scores associated with the potential cardiac arrhythmia event as a time changing series of risk scores, and classifying the first and second risk scores associated with estimating the risk of the potential cardiac arrhythmia event for the subject based on the one or more thresholds.
