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Compressive Big Data Analytics: An ensemble meta-algorithm for high-dimensional multisource datasets

PLoS ONE(2020)10.1371/journal.pone.0228520Source: DataRank Database

Compressive Big Data Analytics: An ensemble meta-algorithm for high-dimensional multisource datasets is a research paper published in PLoS ONE (2020). On theSindex it has a DataRank of 0. It has been cited 12 times.

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0DataRank · unranked

Scored on demand from live citation data

Open Access12 citations

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›Methodology & internals

datarank_citation_only_1hop_v6· scope data_onlyMethodology

Pipeline:MetadataData-paper checkEnrichmentCitation networkScoring

Enrichment:Funding (21 grants)Impact (FWCI 1.07)OA: goldTopics (55)Linked Datasets (2)DataCite Reuse (2)IDs (PubMed, PMC, OpenAlex)SDGs (1)

FAIR Checklist

Context only (not used in score)

Findable (2/2)

Has DOI
Indexed in repositories

Accessible (1/2)

Open Access

Interoperable (2/2)

DataCite relations
Linked datasets

Reusable (0/3)

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Authors (13)

Yi Zhao ORCID,Nina Zhou ORCID,Yiwang Zhou ORCID,Arthur W. Toga ORCID,Lu Zhao ORCID

Live enrichment

PubMed:32857775 PMC:PMC7455041 OpenAlex:https://openalex.org/W3082058479

National Institutes of Health

Grant: P20 NR015331, P30 DK089503, UL1TR002240, R01CA233487, R01MH121079.

National Science Foundation

Grant: 1916425, 1734853, 1636840, 1416953, 0716055 and 1023115

NINR NIH HHS

Grant: P20 NR015331

NINDS NIH HHS

Grant: P50 NS091856

NIDDK NIH HHS

Grant: P30 DK089503

NCI NIH HHS

Grant: R01 CA233487

NIMH NIH HHS

Grant: R01 MH121079

NCATS NIH HHS

Grant: UL1 TR002240

NIBIB NIH HHS

Grant: U54 EB020406

National Science Foundation

Grant: 1023115

Collaborative Research: Distributome--An Interactive Web-based Resource for Probability Distributions

National Science Foundation

Grant: 1734853

NCS-FO: Connectome mapping algorithms with application to community services for big data neuroscience

National Institutes of Health

Grant: 5P30DK089503-04

Administrative Core

National Science Foundation

Grant: 1916425

BD Hubs: Collaborative Proposal: Midwest: Midwest Big Data Hub: Building Communities to Harness the Data Revolution

National Institutes of Health

Grant: 5UL1TR002240-02

Michigan Institute for Clinical and Health Research (MICHR)

National Institutes of Health

Grant: 5P50NS091856-03

Cholinergic Mechanisms of Gait Dysfunction in Parkinson's Disease

National Institutes of Health

Grant: 5R01CA233487-06

Optimal Decision Making in Radiotherapy Using Panomics Analytics

National Institutes of Health

Grant: 5U54EB020406-04

Big Data for Discovery Science

National Science Foundation

Grant: 0716055

Statistics Online Computational Resource for Education

National Science Foundation

Grant: 1416953

Collaborative Research: Distributome--An Interactive Web-based Resource for Probability Distributions

National Institutes of Health

Grant: 3R01MH121079-02S1

COVID-19 supplement to a computational examination of threat and reward constructs in a predominantly low-income, longitudinal sample at increased risk for internalizing disorders

National Institutes of Health

Grant: 5P20NR015331-04

Center for Complexity and Self-management of Chronic Disease (CSCD)

FWCI

1.07

Citation Percentile

0.8%

Citation Trend

2021

2022

2023

2024

goldLicense: cc-by

journalhttps://journals.plos.org/plosone/article/file?id=10.1371/journal.pone.0228520&type=printable

publisherhttps://journals.plos.org/plosone/article/file?id=10.1371/journal.pone.0228520&type=printable

publisherhttps://dx.plos.org/10.1371/journal.pone.0228520

journalhttps://doi.org/10.1371/journal.pone.0228520

repositoryhttps://pubmed.ncbi.nlm.nih.gov/32857775

Fields of Study

Machine Learning in HealthcareStatistical Methods and InferenceGene expression and cancer classification01 natural sciences0101 mathematicsAlgorithmsBig DataData CompressionData MiningData ScienceHumansMachine LearningMeta-Analysis as TopicModels, TheoreticalPhysical PhenomenaPrognosisReproducibility of ResultsSoftware

MeSH Terms

Machine LearningData ScienceBig DataAlgorithmsHumansModels, TheoreticalPrognosisSoftwareMeta-Analysis as TopicReproducibility of ResultsData CompressionPhysical PhenomenaData Mining

Keywords

Computer scienceData miningBig dataMachine learningFeature selectionPredictive analyticsAnalyticsEnsemble learningArtificial intelligenceScienceQData ScienceRReproducibility of ResultsModels, TheoreticalData CompressionPrognosisPhysical PhenomenaMeta-Analysis as TopicMedicineHumansAlgorithmsSoftwareResearch Article

Sustainable Development Goals

SDG 3: 3. Good health

Additional file 1 of Modeling and prediction of pressure injury in hospitalized patients using artificial intelligence

10.6084/m9.figshare.16544122.v1figshare

Additional file 1 of Modeling and prediction of pressure injury in hospitalized patients using artificial intelligence

10.6084/m9.figshare.16544122figshare