Method for establishing biliary atresia column diagram prediction model and application thereof
A predictive model, biliary atresia technology, applied in patient-specific data, health index calculation, medical automation diagnosis, etc., can solve the unreported, γ-glutamyl transpeptidase reliability, accuracy and reproducibility doubts And other issues
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[0026] A total of 1,728 neonatal patients were collected, among which, 1,512 (87.5%) were diagnosed as BA, and 216 (12.5%) were confirmed as non-BA, with an average age of 73.8 (SD, 24.8) days and 73.7 (SD, 24.9) days, and 74.4 (SD, 24.3) days in the non-BA group. Most of the non-BA patients were male (80.6%), and the gender distribution of the BA group was basically the same (51% were male, 49% were female); Table 1 also lists the detailed description of other characteristics, including body weight, TB, DB, ALT, AST, logarithmic (ALP) and logarithmic (GGT). There were significant differences in gender, weight, DB, logarithm (ALP), logarithm (GGT) between the BA group and the non-BA group (P0.05);
[0027] Univariate logistic regression analysis was used to determine the independent variables related to BA: there were significant differences between the BA group and the non-BA group in gender, weight, DB, logarithm (ALP), logarithm (GGT) and other variables (P<0.05) . Logar...
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