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Examining ALS: reformed PCA and random forest for effective detection of ALS
Abdullah Alqahtani
,
Shtwai Alsubai
,
Mohemmed Sha
, Ashit Kumar Dutta
Computer Sciences
Software Engineering
Almaarefa University
Research output
:
Contribution to journal
›
Article
›
peer-review
2
Scopus citations
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Engineering
Random Forest
100%
Principal Component
100%
Component Analysis
75%
Metrics
25%
Artificial Intelligence
25%
Eigenvalue
25%
Eigenvector
25%
Dimensionality
25%
Covariance Matrix
25%
Mathematics
Principal Component Analysis
100%
Data Transformation
50%
Eigenvector
25%
Performance Model
25%
Clustered Data
25%
Dimensionality Reduction
25%
K-Means
25%
Biochemistry, Genetics and Molecular Biology
Random Forest
100%
Principal Component Analysis
100%
Artificial Intelligence
33%
Dimensionality Reduction
33%
Agricultural and Biological Sciences
Principal Component Analysis
100%
Artificial Intelligence
33%
Nervous System Cell
33%
Neuroscience
Amyotrophic Lateral Sclerosis
100%
Neurodegenerative Disorder
10%
Nervous System Cell
10%