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A Multimodal Neuroimaging Approach for Classification and Prediction of Alzheimer's Disease Using Machine Learning

Florida International University Digital Commons (Florida International University)(2020)10.25148/etd.fidc009203Source: DataRank Database

A Multimodal Neuroimaging Approach for Classification and Prediction of Alzheimer's Disease Using Machine Learning is a research paper published in Florida International University Digital Commons (Florida International University) (2020). On theSindex it has a DataRank of 0.

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datarank_citation_only_1hop_v6· scope data_onlyMethodology

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Enrichment:Funding (8 grants)OA: goldTopics (21)IDs (PubMed, OpenAlex)SDGs (1)

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Authors (1)

Parisa Forouzannezhad

Live enrichment

PubMed:26657633 OpenAlex:https://openalex.org/W3193635273

Canadian Institutes of Health Research

Grant: unidentified

unidentified

National Institutes of Health

Grant: 1P30AG066506-01

1Florida Alzheimer's Disease Research Center

National Institutes of Health

Grant: 1U01AG024904-01

Alzheimers Disease Neuroimaging Initiative

National Science Foundation

Grant: 1532061

MRI: Development of an Integrated Neuroimaging Instrument with Temporal and Spatial Alignments for Brain Research

National Science Foundation

Grant: 1338922

I/UCRC: Phase II: Center for Advanced Knowledge Enablement

National Science Foundation

Grant: 1920182

MRI: Development of an Instrument for a Comprehensive Study of Alzheimer's Disease: Multimodal Imaging, Visualization, Machine Learning and Therapeutic Brain Stimulation

National Institutes of Health

Grant: 1R01AG055638-01A1

Precision-based Assessment for the Detection of Mild Cognitive Impairment in Older Adults

National Science Foundation

Grant: 2018611

MRI: Development of an Instrument for Student and Faculty Research on Multimodal Environmental Observations

gold

https://digitalcommons.fiu.edu/cgi/viewcontent.cgi?article=5963&context=etd

http://dx.doi.org/10.25148/etd.fidc009203

repositoryhttps://digitalcommons.fiu.edu/etd/4584

https://doi.org/10.25148/etd.fidc009203

Fields of Study

Dementia and Cognitive Impairment ResearchAlzheimer's disease research and treatmentsBrain Tumor Detection and Classification0202 electrical engineering, electronic engineering, information engineering02 engineering and technology

Keywords

Machine learningArtificial intelligenceDementiaSupport vector machineNeuroimagingFeature selectionDiseaseCognitive declinePopulationComputer sciencePositron emission tomographyDeep learningMedicinePsychologyPathologyNeuroscience

Sustainable Development Goals

SDG 0: Partnerships for the goals