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Deep Learning in Alzheimer's Disease: Diagnostic Classification and Prognostic Prediction Using Neuroimaging Data

Frontiers in Aging Neuroscience(2019)10.3389/fnagi.2019.00220Source: DataRank Database

Deep Learning in Alzheimer's Disease: Diagnostic Classification and Prognostic Prediction Using Neuroimaging Data is a research paper published in Frontiers in Aging Neuroscience (2019). On theSindex it has a DataRank of 11.9. It has been cited 711 times, with 200 citing works in its 1-hop citation network.

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11.9DataRank · unranked

Scored on demand from live citation data

711 citations · 200 citing works in its network

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Linked data & code

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›Methodology & internals

datarank_citation_only_1hop_v6· scope data_onlyMethodology

Pipeline:MetadataData-paper checkEnrichmentCitation networkScoring

Enrichment:Funding (13 grants)OA: goldTopics (21)Linked Datasets (7)DataCite Reuse (7)IDs (PubMed, PMC)SDGs (2)

FAIR Checklist

Context only (not used in score)

Findable (2/2)

Has DOI
Indexed in repositories

Accessible (0/2)

Interoperable (2/2)

DataCite relations
Linked datasets

Reusable (0/3)

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DataRank Breakdown

Base Score 8%Citation Network 92%

Base Score Contribution

0.985

From this paper's citation signal

Citation Network Contribution

10.9

From 200 citing papers with measurable signal

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Top 5 citers driving the network score

Ranked by each citer's contribution to N(p) — log1p(C_q) divided by its reference count — out of 200 citers.

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202339 citations10 referencesContributes 0.369
Detection of Alzheimer’s Disease Using Deep Convolutional Neural Network
International Journal of Image and Graphics202146 citations16 referencesContributes 0.241
Alzheimer’s Disease Diagnosis using Deep Learning Techniques
International Journal of Engineering and Advanced Technology202053 citations17 referencesContributes 0.235
Multiclass Classification in Machine Learning Algorithms for Disease Prediction
Communications in computer and information science202232 citations16 referencesContributes 0.219

Authors (3)

Kwangsik Nho ORCID,Andrew J. Saykin ORCID,Taeho Jo

Live enrichment

PubMed:31481890 PMC:PMC6710444

National Institutes of Health

Grant: P30 AG10133

National Institutes of Health

Grant: R01 AG19771

National Institutes of Health

Grant: R01 AG057739

National Institutes of Health

Grant: R01 CA129769

U.S. National Library of Medicine

Grant: R01 LM012535

National Institute on Aging

Grant: R03 AG054936

National Institutes of Health

Grant: 5R03AG054936-02

Neurogenesis in Adult Brain: Gene Networks and Alzheimer’s Disease

National Institutes of Health

Grant: 1U01AG024904-01

Alzheimers Disease Neuroimaging Initiative

National Institutes of Health

Grant: 5R01AG057739-04

Leveraging Neuroimaging Biomarkers to Understand the Role of Social Networks in Alzheimer's Disease

National Institutes of Health

Grant: 5R01CA129769-10

Older Breast Cancer Patients: Risk For Cognitive Decline

National Institutes of Health

Grant: 1R01LM012535-01

Integrating Neuroimaging, Multi-omics, and Clinical Data in Complex Disease

National Institutes of Health

Grant: 2R01AG019771-06

Memory Circuitry in MCI and Early Alzheimers Disease

National Institutes of Health

Grant: 5P30AG010133-08

CORE-- EDUCATION AND INFORMATION TRANSFER

goldLicense: cc-by

publisherhttps://www.frontiersin.org/articles/10.3389/fnagi.2019.00220/pdf

publisherhttps://www.frontiersin.org/article/10.3389/fnagi.2019.00220/full

repositoryhttps://arxiv.org/pdf/1905.00931

repositoryhttps://www.ncbi.nlm.nih.gov/pmc/articles/6710444

repositoryhttps://hdl.handle.net/1805/21678

Fields of Study

03 medical and health sciences0302 clinical medicine

Keywords

Artificial intelligenceClassificationAlzheimer's diseasePositron emission tomographyMagnetic Resonance ImagingMachine LearningNeuroimagingDeep LearningFOS: Computer and information sciencesComputer Science - Machine LearningNeurosciences. Biological psychiatry. NeuropsychiatryMachine Learning (stat.ML)Machine Learning (cs.LG)Statistics - Machine LearningFOS: Electrical engineering, electronic engineering, information engineeringImage and Video Processing (eess.IV)Electrical Engineering and Systems Science - Image and Video ProcessingRC321-571Neuroscience

Sustainable Development Goals

SDG 3: 3. Good healthSDG 10: 10. No inequality

Additional file 1 of A review of brain imaging biomarker genomics in Alzheimer’s disease: implementation and perspectives

10.6084/m9.figshare.21130048.v1figshare

Additional file 1 of A review of brain imaging biomarker genomics in Alzheimer’s disease: implementation and perspectives

10.6084/m9.figshare.21130048figshare

Additional file 1 of A practical Alzheimer’s disease classifier via brain imaging-based deep learning on 85,721 samples

10.6084/m9.figshare.21332746.v1figshare

Additional file 1 of A practical Alzheimer’s disease classifier via brain imaging-based deep learning on 85,721 samples

10.6084/m9.figshare.21332746figshare

Additional file 1 of The neuropathological landscape of Hispanic and non-Hispanic White decedents with Alzheimer disease

10.6084/m9.figshare.26600926.v1figshare