An Explainable Machine Learning Approach Reveals Prognostic Significance of Right Ventricular Dysfunction in Non-ischemic Cardiomyopathy
<|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:'Python code for developing an XGBoost model for predicting cardiovascular hospitalization and death from clinical and imaging variable' . 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" : ["Machin learning","Right ventricular function, Outcome prediction"]} <|eot_id|>
 Here is the Description of a dataset. Description:'Python code for developing an XGBoost model for predicting cardiovascular hospitalization and death from clinical and imaging variable' . Please return only a json list of at most 3 Keywords corresponding to the Description:.
Python code for developing an XGBoost model for predicting cardiovascular hospitalization and death from clinical and imaging variable
Machin learning; Right ventricular function, Outcome prediction