Optimising classification of Parkinson’s disease based on motor, olfactory, neuropsychiatric and sleep features
Abstract Olfactory loss, motor impairment, anxiety/depression, and REM-sleep behaviour disorder (RBD) are prodromal Parkinson’s disease (PD) features. PD risk prediction models typically dichotomize test results and apply likelihood ratios (LRs) to scores above and below cut-offs. We investigate whe...
Enregistré dans:
| Auteurs principaux: | Jonathan P. Bestwick, Stephen D. Auger, Anette E. Schrag, Donald G. Grosset, Sofia Kanavou, Gavin Giovannoni, Andrew J. Lees, Jack Cuzick, Alastair J. Noyce |
|---|---|
| Format: | article |
| Langue: | EN |
| Publié: |
Nature Portfolio
2021
|
| Sujets: | |
| Accès en ligne: | https://doaj.org/article/65468704213a42c5a5966766f07c7b64 |
| Tags: |
Ajouter un tag
Pas de tags, Soyez le premier à ajouter un tag!
|
Documents similaires
-
Improving estimation of Parkinson’s disease risk—the enhanced PREDICT-PD algorithm
par: Jonathan P. Bestwick, et autres
Publié: (2021) -
Neuropsychiatric symptoms in untreated Parkinson’s disease
par: Szatmari S, et autres
Publié: (2017) -
Symptom dimensions of anxiety in Parkinson’s disease: Replication study in a neuropsychiatric patient population
par: Sonja Rutten, et autres
Publié: (2021) -
Towards an Outpatient Model of Care for Motor Functional Neurological Disorders: A Neuropsychiatric Perspective
par: Saxena A, et autres
Publié: (2020) -
AN OPTIMISATION-BASED APPROACH FOR DESIGNING INDIRECT SENSORS APPLIED TO AN INDUCTION MOTOR
par: Valdés-González,Gonzalo, et autres
Publié: (2006)