Feature Selection and Classification Using CatBoost Method for Improving the Performance of Predicting Parkinson’s Disease-Reference-Cited by-同舟云学术

Feature Selection and Classification Using CatBoost Method for Improving the Performance of Predicting Parkinson’s Disease

Published:2020-10-20 Issue: Volume: Page:189-199
ISSN:2194-5357
Container-title:Advances on Smart and Soft Computing
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Author:

Al-Sarem Mohammed,Saeed Faisal,Boulila Wadii,Emara Abdel Hamid,Al-Mohaimeed Muhannad,Errais Mohammed

Publisher

Springer Singapore

Link

http://link.springer.com/content/pdf/10.1007/978-981-15-6048-4_17

Reference24 articles.

1. Xie, W., Li, X., Li, C., Zhu, W., Jankovic, J., Le, W.: Proteasome inhibition modeling nigral neuron degeneration in Parkinson’s disease. J. Neurochem. 115(1), 188–199 (2010)

2. Borah, A., Choudhury, A., Paul, R., Mazumder, M.K., Chetia, S.: Neuroprotective effect of ayurvedic preparations and natural products on Parkinsons disease. Neuroprotect. Nat. Prod. Clin. Aspect. Mod. Act. (2017)

3. Olalekan, O., Sanya, O.J.: NMDA R/VDR in fish melanocytes; receptor targeted therapeutic model and mechanism in Parkinson’s disease: J. Biomol. Res. Ther. 3(114) (2014)

4. Pallanti, S., Marras, A.: Transcranial magnetic stimulation treatment for motor symptoms in Parkinson’s disease: a review of two decades of studies. Alzheimers Dis. Parkinsonism 5(191), 2161–2460 (2015)

5. Ford, B.: Pain in Parkinson’s disease. Clinical Neurosci. 5(2), 63–72 (1998)

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