Thought and Method of Building Risk Prediction Model Based on Combination of Disease and Syndrome
WEI Xu
XIE Yan-ming
TIAN Feng
SHEN Hao
JIANG Jun-jie
SUN Shuai-ling
ZHANG Yi-li
Abstract：The research on risk prediction model is the important strategy for prevention and treatment of chronic noncommunicable diseases.However,there are lack of related contents about traditional Chinese medicine (TCM) syndrome and symptom in the prediction models.Firstly,the basis of building risk prediction model based on combination of disease and syndrome is to choose whether diseas occur or disease endpoint index as the target outcome.Secondly,the key influencing factors which are relative to the known outcome are identified and collected.Thirdly,mathematical methods are chosen to screen TCM and western medicine risk factors,eventually to construct risk model.Fourthly,the performance of risk prediction model is evaluated.The common mathematical model include logistic regression analysis,Cox proportional hazard model,artificial neural network,decision tree model,Markov model,and random forest.In addition,we should pay attention to the application conditions,characteristic of outcome and influencing factors in the construction of risk prediction model.
Keywords：Combination of disease and syndromeRisk prediction modelRisk factorsTraditional Chinese medicine syndromeMathematical model
Publication Date：2017-01-01
Online Publishing Date：2025-08-15(First online date of this platform, not the publication date of the document)
Pages：4( 180-183 )