Assessing the identifiability of model selection frameworks for the prediction of patient outcomes in the clinical breast cancer setting.
Caleb M. PhillipsErnesto A. B. F. LimaC. WuAngela M. JarrettZ. ZhouN. ElshafeeyJ. MaGreta RauchThomas E. YankeelovPublished in: J. Comput. Sci. (2023)
Keyphrases
- model selection
- bladder cancer
- breast cancer
- patient outcomes
- outcome prediction
- cross validation
- prognostic factors
- survival analysis
- regression model
- medical data
- breast cancer patients
- clinical data
- sample size
- machine learning
- cancer patients
- logistic regression
- clinical practice
- disease progression
- feature selection
- breast tissue
- real world
- clinical trials
- patient data
- vital signs
- medical practice
- k nearest neighbor
- training data