Laurence Richard Olivier,Franco Bauer du Preez,Riaan Conradie,Gerrida Mathilda Uys
申请号：
US15415443
公开号：
US20170209103A1
申请日:
2017.01.25
申请国别(地区):
US
年份:
2017
代理人:
摘要：
The claimed invention presents methods for predicting the outcomes of physiological systems in real time using limited data input and computational resources. The claimed invention is comprised of simplified, or abstracted, physiological models, derived from detailed cloud-based computational systems biology models. Abstracted models are capable of utilizing limited data streams, typically obtained from non-invasive data acquisition devices, to accurately estimate, predict and display the outcomes of physiological systems in real time on the device, compared to detailed cloud-based estimations that are computationally demanding and can be used to continuously update abstracted models over time.
