Probability calibration-based prediction of recurrence rate in patients with diffuse large B-cell lymphoma
Abstract Background Although many patients receive good prognoses with standard therapy, 30–50% of diffuse large B-cell lymphoma (DLBCL) cases may relapse after treatment. Statistical or computational intelligent models are powerful tools for assessing prognoses; however, many cannot generate accura...
Main Authors: | , , , , , , , , , |
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Format: | Article |
Language: | English |
Published: |
BMC
2021-08-01
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Series: | BioData Mining |
Subjects: | |
Online Access: | https://doi.org/10.1186/s13040-021-00272-9 |