The Cleveland Clinic Foundation;Siemens Healthcare GmbH
发明人:
Bin Lou,Ali Kamen,Nilesh Mistry,Lance Anthony Ladic,Mohamed Abazeed
申请号：
US16583324
公开号：
US20200069973A1
申请日:
2019.09.26
申请国别(地区):
US
年份:
2020
代理人:
摘要：
For decision support in a medical therapy, machine learning provides a machine-learned generator for generating a prediction of outcome for therapy personalized to a patient. The outcome prediction may be used to determine dose. To assist in decision support, a regression analysis of the cohort used for machine training relates the outcome from the machine-learned generator to the dose and an actual control time (e.g., time-to-event). The dose that minimizes side effects while minimizing risk of failure to a time for any given patient is determined from the outcome for that patient and a calibration from the regression analysis.
