Diagnosis Of Individual Disease State By Relative Entropy Score

General secretary Xi Jinping put forward the”four faces" in China's science and technology undertaking in September 11,2020.Among them,facing the new orientation of people's life and health,it pointed out that one of the main directions of the development of science and technology is to diagnose and cure major diseases early.This paper proposes an algorithm to distinguish the health state and disease state of human body by using relative entropy score(RES).The health state and disease state here are relative to the deterioration of the disease,that is,the state before the deterioration of the disease is the health state,and the state after the deterioration of the disease is the disease state.In other words,we're looking for a cut-off point for disease progression.This paper mainly completes the following two aspects of work:(1)Based on the concept of relative entropy,this paper puts forward the index of relative entropy score,and gives the form of relative entropy score.And the method of judging individual state by using relative entropy score is proposed,and the theoretical basis,calculation steps and detailed algorithm flow of the algorithm are further described in detail.(2)We applied the method of using relative entropy score to judge individual status to two real data sets:lung squamous cell carcinoma(lusc)data set and lung adenocarcinoma(lung adenocarcinoma)data set.The survival analysis and accuracy analysis are made,and the calculation results obtained by this method are consistent with the actual situation,which verifies the effectiveness of this method.At the same time,we also found the genes related to the two diseases,which further confirmed the association between these genes and the two diseases.