Author

Matthew Velazquez

University of Missouri–Kansas CityORCID 0000-0001-8060-9665Unclaimed ORCID profile · follow to get notified of new preprints

Biology Disciplines

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Bioinformatics· 1

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Research Focus:differential expression· 1 Organism:human· 1 Approach:machine learning (classical)· 1

Frequent Co-Authors

Alzheimer’s Disease Neuroimaging Initiative· 1 shared Yugyung LeeiD· 1 shared

Activity by Year

2021-2021 · peak 1/yr

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2 top collaborators · 1 mutual co-author link

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1 shared paperBioinformatics

Alzheimer’s Disease Neuroimaging Initiative

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1 paper

Recent·Most cited

Random forest model for feature-based Alzheimer's disease conversion prediction from early mild cognitive impairment subjects

Matthew Velazquez, Yugyung Lee, Alzheimer’s Disease Neuroimaging Initiative

This study uses a balanced random forest model to predict Alzheimer's disease conversion from early mild cognitive impairment patients using clinical features, achieving 93.6% accuracy.

PLoS ONE · Apr 29, 2021Peer-reviewedBioinformatics