Development Individual STN DBS prediction model for PD
<|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:'Development of a prediction model which differentiates between strong and weak response. Outcome classification is based on a holistic approach using UPDRS II, III and IV improvement. Clinical preoperative variables are used as predictors in a logistic regression predictive model. This data set describes the single-center cohort which is used to develop the model, and validated via cross-validation' . 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" : ["Parkinson's disease","deep brain stimulation","sub thalamic nucleus","predictive modelling"]} <|eot_id|>
 Here is the Description of a dataset. Description:'Development of a prediction model which differentiates between strong and weak response. Outcome classification is based on a holistic approach using UPDRS II, III and IV improvement. Clinical preoperative variables are used as predictors in a logistic regression predictive model. This data set describes the single-center cohort which is used to develop the model, and validated via cross-validation' . Please return only a json list of at most 3 Keywords corresponding to the Description:.
Development of a prediction model which differentiates between strong and weak response. Outcome classification is based on a holistic approach using UPDRS II, III and IV improvement. Clinical preoperative variables are used as predictors in a logistic regression predictive model. This data set describes the single-center cohort which is used to develop the model, and validated via cross-validation
Parkinson's disease; deep brain stimulation; sub thalamic nucleus; predictive modelling