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Predicting the Severity of Parkinson’s Disease Dementia by Assessing the Neuropsychiatric Symptoms with an SVM Regression Model
In this study, we measured the convergence rate using the mean-squared error (MSE) of the standardized neuropsychological test to determine the severity of Parkinson’s disease dementia (PDD), which is based on support vector machine (SVM) regression (SVR) and present baseline data in order to develo...
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| Vydáno v: | Int J Environ Res Public Health |
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| Hlavní autor: | |
| Médium: | Artigo |
| Jazyk: | Inglês |
| Vydáno: |
MDPI
2021
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| Témata: | |
| On-line přístup: | https://ncbi.nlm.nih.gov/pmc/articles/PMC7967659/ https://ncbi.nlm.nih.gov/pubmed/33806474 https://ncbi.nlm.nih.govhttp://dx.doi.org/10.3390/ijerph18052551 |
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