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With people's increasing concern about health, judging people's health through medical record is becoming a potential demand. Most of preview disease analysis researches were conducted on structured dataset, which usually ignored the relationship between different symptoms, and the dataset was expensive to get. In this paper, we proposed a novel model based on Word2vec and Terms Frequency-Inverse...
Purpose: The analysis of syndrome distribution and the association between syndrome-syndrome in chronic gastritis (CG) patients can provide references for research about Traditional Chinese Medicine (TCM) diagnosis and treatment of CG. Method: This paper applies the investigation method of clinical epidemiology, adopts probability statistics method and comes up with the concept of associated density...
Coronary heart disease (CHD) is a common cardiovascular disease in the elderly, which causes high death rate and low cure rate. Therefore, the TCM diagnosis objectification is important. This paper proposes the Relative Associated Density (RAD) method to analyze the data set. RAD results of the symptoms to syndromes are used in performing feature selection, and the prediction results with different...
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