Research On the Data Quality Control Model of the Traditional Chinese Medicine Inpatient Medical Record Home Page Based on XGBoost.

Objective: Designs a XGBoost-based data quality control model for the traditional chinese medicine (TCM) inpatient medical record home page. Exploring the method of data normalization on the TCM inpatient medical record home page. Methods: Taking the data on the TCM inpatient medical record home page of a hospital in Jiangsu Province as the original data. Using correlation analysis to filter out some data items that have a higher degree of correlation with the data items to be quality control. Establishing a XGBoost-based data quality control model for the TCM inpatient medical record home page. Using the hierarchical 10-fold cross-validation to evaluate the model. Results: The experimental results show that the accuracy rate of the model can reach 88.60%. Conclusion: The data quality control model on the TCM inpatient medical record home page is conducive to improving the quality of the data on the TCM inpatient medical record home page and provides data support for medical research.