MAYO FOUNDATION FOR MEDICAL EDUCATION AND RESEARCH
发明人:
ATTIA, ITZHAK ZACHI,FRIEDMAN, PAUL A.,LOPEZ-JIMENEZ, FRANCISCO,KAPA, SURAJ
申请号：
CA3078519
公开号：
CA3078519A1
申请日:
2018.10.04
申请国别(地区):
CA
年份:
2019
代理人:
摘要：
Systems, methods, devices, and techniques for estimating an ejection-fraction characteristic of a mammal. An electrocardiogram (ECG) procedure is performed on a mammal, and a computer system obtains ECG data that describes results of the ECG over a period of time. The system provides a predictive input that is based on the ECG data to an ejection-fraction predictive model, such as a neural network or other machine-learning model. In response, the ejection-fraction predictive model processes the input to generate an estimated ejection-fraction characteristic of the mammal. The system outputs the estimated ejection-fraction characteristic of the mammal for presentation to a user.
