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Imputation of missing data can improve the classification of dementia severity
Niamh McCombe
,
Shuo Liu
,
Xuemei Ding
,
Magda Bucholc
,
Girijesh Prasad
, David Finn
, Stephen Todd
,
Paula McClean
,
KongFatt Wong-Lin
School of Computing, Eng & Intel. Sys
Faculty Of Computing, Eng. & Built Env.
Computer Science and Informatics Research
School of Biomedical Sciences
Faculty Of Life & Health Sciences
Biomedical Sciences Research
National University of Ireland, Galway
Research output
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peer-review
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Dive into the research topics of 'Imputation of missing data can improve the classification of dementia severity'. Together they form a unique fingerprint.
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Mathematics
Data Imputation
100%
Nearest Neighbor
50%
Imputation Method
50%
Imputed Value
50%
Multiple Imputation
50%
Clinical Decision
50%
SVM Model
50%
Median
50%
Support Vector Machine
50%
Predictive Model
50%
Neuroscience
Alzheimer's Disease
100%
Cognitive Disorders
66%
Clinical Dementia Rating
66%
Support Vector Machine
33%
Clinical Decision Making
33%
Biochemistry, Genetics and Molecular Biology
Random Forest
100%
K Nearest Neighbor
25%
Support Vector Machine
25%
Clinical Decision Making
25%
Classification Algorithm
25%