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

Matthew Velazquez; Yugyung Lee; for the Alzheimer’s Disease Neuroimaging Initiative

doi:10.1371/journal.pone.0244773

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Open Access

Peer-reviewed

Research Article

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

Matthew Velazquez ,

Roles Conceptualization, Data curation, Formal analysis, Investigation, Methodology, Project administration, Resources, Software, Validation, Visualization, Writing – original draft

* E-mail: mv3md@mail.umkc.edu

Affiliation Department of Computer Science, University of Missouri - Kansas City, Kansas City, MO, United States of America

https://orcid.org/0000-0001-8060-9665

⨯
Yugyung Lee,

Roles Conceptualization, Methodology, Supervision, Writing – review & editing

Affiliation Department of Computer Science, University of Missouri - Kansas City, Kansas City, MO, United States of America
⨯
for the Alzheimer’s Disease Neuroimaging Initiative

¶Membership of the Alzheimer’s Disease Neuroimaging Initiative is listed in the Acknowledgments section.
⨯

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

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

Published: April 29, 2021
https://doi.org/10.1371/journal.pone.0244773

About the Authors

Matthew Velazquez

Roles Conceptualization, Data curation, Formal analysis, Investigation, Methodology, Project administration, Resources, Software, Validation, Visualization, Writing – original draft

* E-mail: mv3md@mail.umkc.edu

Affiliation Department of Computer Science, University of Missouri - Kansas City, Kansas City, MO, United States of America

https://orcid.org/0000-0001-8060-9665

Yugyung Lee

Roles Conceptualization, Methodology, Supervision, Writing – review & editing

Affiliation Department of Computer Science, University of Missouri - Kansas City, Kansas City, MO, United States of America

for the Alzheimer’s Disease Neuroimaging Initiative

¶Membership of the Alzheimer’s Disease Neuroimaging Initiative is listed in the Acknowledgments section.

Competing Interests

The authors have declared that no competing interests exist.

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Alzheimer's disease
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Cognitive impairment
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Magnetic resonance imaging
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Neuropsychology
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Biomarkers
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Hippocampus
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Machine learning
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Neuropsychological testing
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