Amir Hossein HAYERI,Ricardo CACHO,Suvan Ashok RAMCHANDANI,Nicolas BRANDT,Aleksey SHER
申请号：
US16650581
公开号：
US20200229772A1
申请日:
2018.09.26
申请国别(地区):
US
年份:
2020
代理人:
摘要：
A computer-implemented method of facilitating physiological property forecasting for detecting disease complications is disclosed. The method involves receiving signals representing sensed physiological property indicators, each of the sensed physiological property indicators representing a sensed physiological property of a patient at a respective time and receiving signals representing one or more contextual indicators associated with the sensed physiological property indicators. The method also involves applying at least one classification criterion to the one or more contextual indicators to determine a patient state of a plurality of possible patient states, each patient state associated with a respective set of forecasting parameters and applying the set of forecasting parameters associated with the determined patient state to the sensed physiological property indicators to determine at least one forecast physiological property indicator representing a forecast physiological property of the patient at a future time. Other methods, systems and computer-readable media are also disclosed.
