Deep Learning-Based Imbalanced Classification With Fuzzy Support Vector Machine.

Imbalanced classification is widespread in the fields of medical diagnosis, biomedicine, smart city and Internet of Things. The imbalance of data distribution makes traditional classification methods more biased towards majority classes and ignores the importance of minority class. It makes the traditional classification methods ineffective in imbalanced classification.

[P53 expression in liver tissue of patients with chronic hepatitis B and its influencing factors].

Objective: To observe p53 expression in liver tissue of patients with chronic hepatitis B and its influencing factors.

Methods: 17 cases HBeAg-negative chronic hepatitis B patients and 31 cases HBeAg-positive chronic hepatitis B patients were divided into 2 groups.

Results: (1) HBeAg-negative chronic hepatitis B patients were older, mostly male and HBV DNA lower.