Comparing machine learning and deep learning models to predict cognition progression in Parkinson's disease
Abstract Cognitive decline in Parkinson's disease (PD) varies widely. While models to predict cognitive progression exist, comparing traditional probabilistic models to deep learning methods remains understudied. This study compares sequential modeling techniques to identify cognitive progressi...
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| Main Authors: | , , , |
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| Format: | Article |
| Language: | English |
| Published: |
Wiley
2024-11-01
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| Series: | Clinical and Translational Science |
| Online Access: | https://doi.org/10.1111/cts.70066 |
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