manually checked the original records and coded variables to ensure the consistency rate exceeding 98%. Results: From 2012 to 2019, 634785 newborns were included in the database. Of those, 10250 individuals were identified with congenital anomalies. We developed a three-level index system, including 92 categories and 303 subcategories. Nearly 80% of the standardization could be completed by NERCS, and 100% records about congenital anomalies were coded by ICD-10 using the Text Clustering Method. Finally, we established the structured congenital anomalies database with the consistency rate close to 100%. Conclusions: Congenital anomalies, as a kind of rare event, need to be undertaken a series of data governance before analysis, which could increase confidence in the evidence generation.
manually checked the original records and coded variables to ensure the consistency rate exceeding 98%. Results: From 2012 to 2019, 634785 newborns were included in the database. Of those, 10250 individuals were identified with congenital anomalies. We developed a three-level index system, including 92 categories and 303 subcategories. Nearly 80% of the standardization could be completed by NERCS, and 100% records about congenital anomalies were coded by ICD-10 using the Text Clustering Method. Finally, we established the structured congenital anomalies database with the consistency rate close to 100%. Conclusions: Congenital anomalies, as a kind of rare event, need to be undertaken a series of data governance before analysis, which could increase confidence in the evidence generation.
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