Cleaning method for traditional Chinese medicine clinical data
A technology of data cleaning and clinical data, which is applied in the clinical field of traditional Chinese medicine, can solve problems such as data defects that cannot be effectively solved, and achieve the effects of reducing the generation of unusable data, solving missing data, and improving quality
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Embodiment 1
[0028] Embodiment 1 provides a kind of traditional Chinese medical science clinical data cleansing method, as figure 2 shown, including steps:
[0029] S01, obtaining an electronic medical record, and retrieving a knowledge data set from a knowledge base through a disease name in the electronic medical record;
[0030] S02. Retrieve the corresponding prescription information through the knowledge code corresponding to each knowledge data in the knowledge data set, and the prescription information includes the drug name;
[0031] S03, comparing each drug name in each knowledge data with the drug name in the electronic medical record, and selecting the knowledge data whose drug name comparison matches the most times and whose matching rate exceeds a specified threshold as the target knowledge data;
[0032] S04. Compare the information on the four diagnoses, prescriptions, treatment methods, symptoms, syndrome types, disease locations, and disease characteristics in the electr...
Embodiment 2
[0044] Embodiment 2 provides a kind of traditional Chinese medical science clinical data cleansing method, as image 3 As shown, the difference between it and Example 1 is that in step S04, the information on the four diagnoses, prescriptions, treatment methods, symptoms, syndrome types, disease locations, and disease properties in the electronic medical record are compared with the target knowledge , if the corresponding position of the target knowledge is a non-null value, overwrite the corresponding position of the electronic medical record with the corresponding position information of the target knowledge. In this embodiment, the data completion operation uses the target knowledge as a template. When the corresponding position of the target knowledge data is a non-null value, the corresponding position information of the target knowledge will cover the corresponding position of the electronic medical record. This method is helpful Completeness of data completion.
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