Probability calibration-based prediction of recurrence rate in patients with diffuse large B-cell lymphoma

Probability calibration-based prediction of recurrence rate in patients with diffuse large B-cell lymphoma

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 accurate risk...

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Bibliographic Details
Main Authors: Fan, S. (Author), Huang, X. (Author), Lu, Q. (Author), Luo, Y. (Author), Xing, M. (Author), Yang, Z. (Author), Yu, H. (Author), Zhang, Y. (Author), Zhao, Z. (Author), Zheng, C. (Author)
Format: Article
Language:English
Published: BioMed Central Ltd 2021
Subjects:
adult
Article
cancer staging
clinical decision making
common acute lymphoblastic leukemia antigen
comparative study
diffuse large B cell lymphoma
Discrimination and calibration
DLBCL
feed forward neural network
female
germinal center
health care personnel
human
human cell
International Prognostic Index
Karnofsky Performance Status
major clinical study
male
mathematical model
middle aged
personalized medicine
prediction
Probability calibration
random forest
recurrence risk
Risk prediction
rituximab
sex ratio
support vector machine
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