Code-level experimental result data of deep learning based diagnosis code prediction using patient medication history
<|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:'Experimental outcomes in terms of accuracy, recall, and F1 for deep-learning-based supervised training of an artificial neural network for patient diagnosis prediction based on patient medication history, using hierarchical domain knowledge to guide learning' . 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" : ["Classification","Deep Learning","Diseases","Hierarchical Loss Function","ICD-9","Machine Learning","Medical Taxonomy"]} <|eot_id|>
 Here is the Description of a dataset. Description:'Experimental outcomes in terms of accuracy, recall, and F1 for deep-learning-based supervised training of an artificial neural network for patient diagnosis prediction based on patient medication history, using hierarchical domain knowledge to guide learning' . Please return only a json list of at most 3 Keywords corresponding to the Description:.
Experimental outcomes in terms of accuracy, recall, and F1 for deep-learning-based supervised training of an artificial neural network for patient diagnosis prediction based on patient medication history, using hierarchical domain knowledge to guide learning
Classification; Deep Learning; Diseases; Hierarchical Loss Function; ICD-9; Machine Learning; Medical Taxonomy