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In “A predictive model to identify Parkinson disease from administrative claims data,” the authors used demographic data, tobacco history, and diagnoses to develop a predictive model to identify Parkinson disease… Click to show full abstract
In “A predictive model to identify Parkinson disease from administrative claims data,” the authors used demographic data, tobacco history, and diagnoses to develop a predictive model to identify Parkinson disease (PD) in the prodromal period. Dr. Kawada points out the difference in the adjusted odds ratio of having ever smoked tobacco in patients with PD in this study (0.70) with relative risk in a previous meta-analysis (0.44).
Keywords:
identify parkinson;
predictive model;
model identify;
parkinson disease
Journal Title: Neurology
Year Published: 2018
Link to full text (if available)
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Journal Title: Neurology
Year Published: 2018
Link to full text (if available)
Share on Social Media: Sign Up to like & get
recommendations!