首页|Patent Application Titled 'Composite Training Techniques For Machine Learning Mo dels' Published Online (USPTO 20240169267)
Patent Application Titled 'Composite Training Techniques For Machine Learning Mo dels' Published Online (USPTO 20240169267)
扫码查看
点击上方二维码区域,可以放大扫码查看
原文链接
NETL
NSTL
Reporters obtained the following quote from the background information supplied by the inventors: “Various embodiments of the present disclosure address technic al challenges related to machine learning models and predictive modelling techni ques that leverage machine learning models, such as intelligent recommendation e ngines. Intelligent recommendation engines may be used across multiple predictio n domains to generate predictive recommendations. For example, in a clinical dom ain, clinical care routinely involves planning treatments for patients carefully considering potential risks and benefits of the available treatment options. Cl inical practice guidelines (CPGs) published by medical associations are based on the best available population-level evidence and are intended to assist healthc are professionals in making clinical decisions. However, this also implies that the CPGs are not designed to the clinical needs of specific patients. Further, d ealing with potentially polychronic patients poses technical challenges that may lead to adverse interactions. Thus, while CPGs are helpful as general guideline s, recommendations are traditional made that deviate from applicable guidelines partially or fully to tailor treatments to a particular individual.