Identified optimal SVM parameters for each model.

Name: Identified optimal SVM parameters for each model.
Published: 2020-03-05T18:28:45+00:00
License: https://creativecommons.org/licenses/by/4.0/
Keywords: Mini-Mental State Examination, MMSE, machine learning-based, CERAD, LM, Alzheimer, test batteries, AUC, machine-learning algorithm, WMS, Exploratory Factor Analysis, language components, Logical Memory, Mild Cognitive Impairment, EFA, CDR, II, Boston Naming Test, control individuals, MCI-AD group, control group

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posted on 2020-03-05, 18:28 authored by Sylvester Olubolu Orimaye, Karl Goodkin, Ossama Abid Riaz, Jean-Maurice Miranda Salcedo, Thabit Al-Khateeb, Adeola Olubukola Awujoola, Patrick Olumuyiwa Sodeke

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CC BY 4.0

Identified optimal SVM parameters for each model.

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