Preoperative prediction of gastric cancer T-staging based on ordinal regression models
Objectives. Study of ordinal regressions presented via the set of binary logistic regressions and their application in clinical practice for T-staging of gastric cancer.Methods. Methods of ordinal regression statistical models, model performance assessment, and survival analysis were used.Results. B...
Saved in:
| Main Authors: | O. V. Krasko, M. Yu. Reutovich, A. L. Patseika |
|---|---|
| Format: | Article |
| Language: | Russian |
| Published: |
National Academy of Sciences of Belarus, the United Institute of Informatics Problems
2024-06-01
|
| Series: | Informatika |
| Subjects: | |
| Online Access: | https://inf.grid.by/jour/article/view/1282 |
| Tags: |
Add Tag
No Tags, Be the first to tag this record!
|
Similar Items
-
ORDINAL LOGISTIC REGRESSION MODEL AND CLASSIFICATION TREE ON ORDINAL RESPONSE DATA
by: Jajang Jajang, et al.
Published: (2022-03-01) -
Modeling Uncertainty in Ordinal Regression: The Uncertainty Rating Scale Model
by: Gerhard Tutz
Published: (2025-05-01) -
ENSEMBLE BAGGING WITH ORDINAL LOGISTIC REGRESSION TO CLASSIFY TODDLER NUTRITIONAL STATUS
by: Luthfia Hanun Yuli Arini, et al.
Published: (2025-01-01) -
Tumor deposits in colorectal and gastric cancers
by: Ruirong Yao, et al.
Published: (2024-06-01) -
Multimodal multi-output ordinal regression for discovering gravitationally-lensed transients
by: Nicolò Oreste Pinciroli Vago, et al.
Published: (2025-01-01)