Personalized disease treatment plan suggestion system based on big data and knowledge base

摘要

Conventional methods for disease treatment plan rely too much on the subjective experience and theoretical knowledge of doctors The uncertain decisions of doctors may lead to wrong treatment plans. This paper provides a treatment suggestion system based on big data and knowledge base. The system no longer relies on the subjective experience of doctors, but relies on the objective historical data of treatment cases including disease information, personal information, treatment plans and the treatment effects of the treatment plans. The suggested treatment plans are much more targeted and reliable, thereby assisting doctors to determine disease treatment plans more quickly, accurately and reasonably.