Analysis of cross-combinations of feature selection and machine-learning classification methods based on 18F-PET/CT radiomic features for prediction of the metabolic response in metastatic breast cancer.
<|begin_of_text|><|start_header_id|>system<|end_header_id|> You are a research archivist expert in dataset metadata. Answer the question truthfully.  <|eot_id|><|start_header_id|>user<|end_header_id|> Here is the Description of a dataset. Description:'Clinical and radiomic data to predict the treatment response in patients with recurrent or metastatic breast cance' . Please return only a json list of at most 3 Keywords corresponding to the Description:.<|eot_id|><|start_header_id|>assistant<|end_header_id|> {"Answer" : ["Radiomics"]} <|eot_id|>
 Here is the Description of a dataset. Description:'Clinical and radiomic data to predict the treatment response in patients with recurrent or metastatic breast cance' . Please return only a json list of at most 3 Keywords corresponding to the Description:.
Clinical and radiomic data to predict the treatment response in patients with recurrent or metastatic breast cance
Radiomics