Machine-learning-derived rules set excludes risk of Parkinson ’s disease in patients with olfactory or gustatory symptoms with high accuracy

ConclusionsApplying machine-learning techniques, a classifier was developed that took the shape of a set of six hierarchical rules with binary decisions about olfaction-related features or a familial burden of Parkinson ’s disease. Its main clinical strength lies in the exclusion of the possibility of developing Parkinson’s disease in a patient with olfactory or gustatory loss.
Source: Journal of Neurology - Category: Neurology Source Type: research