Correction: Machine learning-based normal tissue complication probability model for predicting albumin-bilirubin (ALBI) grade increase in hepatocellular carcinoma patients (Radiation Oncology, (2022), 17, 1, (202), 10.1186/s13014-022-02138-8)
Prayongrat A., Srimaneekarn N., Thonglert K., Khorprasert C., Amornwichet N., Alisanant P., Shirato H., Kobashi K., Sriswasdi S. Correction: Machine learning-based normal tissue complication probability model for predicting albumin-bilirubin (ALBI) grade increase in hepatocellular carcinoma patients (Radiation Oncology, (2022), 17, 1, (202), 10.1186/s13014-022-02138-8). Radiation Oncology Vol.18 No.1 (2023). doi:10.1186/s13014-023-02212-9 Retrieved from: https://repository.li.mahidol.ac.th/handle/20.500.14594/82011
Title
Correction: Machine learning-based normal tissue complication probability model for predicting albumin-bilirubin (ALBI) grade increase in hepatocellular carcinoma patients (Radiation Oncology, (2022), 17, 1, (202), 10.1186/s13014-022-02138-8)
After publication of this article [1], the authors reported that Sira Sriswasdi should have been denoted as co-corresponding author. The original article [1] has been corrected.
