Latent Class and Transition Analysis of Alzheimer's Disease Data
This study uses independent latent class analysis (LCA) and latent transition analysis (LTA) to explore accurate diagnosis and disease status change of a big Alzheimer's disease Neuroimaging Initiative (ADNI) data of 2,132 individuals over a 3-year period. The data includes clinical and neural...
Main Authors: | Hany Alashwal, Thierno M. O. Diallo, Richard Tindle, Ahmed A. Moustafa |
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Format: | Article |
Language: | English |
Published: |
Frontiers Media S.A.
2020-11-01
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Series: | Frontiers in Computer Science |
Subjects: | |
Online Access: | https://www.frontiersin.org/articles/10.3389/fcomp.2020.551481/full |
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