Table 1_A machine learning-based predictive model for 48-week hepatitis B surface antigen seroclearance in chronic hepatitis B patients treated with pegylated interferon α-2b: prediction at week 24.doc

Table 1_A machine learning-based predictive model for 48-week hepatitis B surface antigen seroclearance in chronic hepatitis B patients treated with pegylated interferon α-2b: prediction at week 24.doc

Background<p>Chronic hepatitis B (CHB) is an infectious disease mainly affecting the liver, caused by the hepatitis B virus (HBV). In the treatment of CHB, pegylated interferon α-2b (PEG-IFNα-2b) is one of the important therapeutic options. However, there are significant individual differences...

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Đã lưu trong:
Chi tiết về thư mục
Tác giả chính: Nan Kong (6917111) (author)
Tác giả khác: Kaixia Wang (5585582) (author), Yiling Wang (620129) (author), Shike Lou (14786614) (author), Luocheng Zhou (22474099) (author), Tao Wang (12008) (author), Zhili Tan (19196512) (author), Lihong Qu (2102689) (author)
Được phát hành: 2025
Những chủ đề:
Cell Biology
chronic hepatitis B
HBsAg seroclearance
predictive model
machine learning
clinical utility
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