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Detection of dementia on raw voice recordings using deep learning: A Framingham Heart Study

medRxiv(2021)10.1101/2021.03.04.21252582Source: DataRank Database

Detection of dementia on raw voice recordings using deep learning: A Framingham Heart Study is a research paper published in medRxiv (2021). On theSindex it has a DataRank of 0.165. It has been cited 2 times.

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0.165DataRank · unranked

Scored on demand from live citation data

Open Access2 citations

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›Methodology & internals

datarank_citation_only_1hop_v6· scope data_onlyMethodology

Pipeline:MetadataData-paper checkEnrichmentCitation networkScoring

Enrichment:Funding (13 grants)OA: greenTopics (40)IDs (PubMed, OpenAlex)SDGs (3)

FAIR Checklist

Context only (not used in score)

Findable (1/2)

Has DOI

Accessible (1/2)

Open Access

Interoperable (0/2)

Reusable (0/3)

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DataRank Breakdown

Base Score 100%Citation Network 0%

Base Score Contribution

0.165

From this paper's citation signal

Citation Network Contribution

Citation network not refreshed for this result

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Authors (5)

Cody Karjadi ORCID,Ioannis Ch. Paschalidis ORCID,Rhoda Au ORCID,Vijaya B. Kolachalama ORCID,Chonghua Xue

Live enrichment

PubMed:19022398 OpenAlex:https://openalex.org/W3135695047

National Institutes of Health

Grant: 2R01AG062109-02A1

Cognitive heterogeneity in those with high Alzheimer's Disease Risk

National Institutes of Health

Grant: 1R21CA253498-01

PRISTINE: Pre-cancer histology identification of Endobronchial biopsies using deep learning

National Institutes of Health

Grant: 3U24DK115255-02S1

Coordinating Unit for DiaComp

National Science Foundation

Grant: 1914792

SCH: INT: Distributed Analytics for Enhancing Fertility in Families

National Institutes of Health

Grant: N01HC025195-005

THE FRAMINGHAM HEART STUDY-268025195

National Institutes of Health

Grant: 3UL1TR001430-05A1S2

Boston University Clinical and Translational Science Institute

National Institutes of Health

Grant: 1R01AG049810-01A1

Re-visiting Methods for MCI Diagnosis to Improve Biomarker and Trial Findings

National Institutes of Health

Grant: 2R01AG033040-06

MRI, Cognitive, Genetic and Biomarker Precursors of AD & Dementia in Young Adults

National Institutes of Health

Grant: 4R01AG016495-15

MRI, Genetics & Cognitive Precursors of AD and Dementia

National Institutes of Health

Grant: 5R01AG008122-04

EPIDEMIOLOGY OF DEMENTIA IN THE FRAMINGHAM COHORT

National Institutes of Health

Grant: 5U19AG068753-02

Precision Monitoring and Assessment in the Framingham Study: Cognitive, MRI, Genetic and Biomarker Precursors of AD & Dementia

National Institutes of Health

Grant: 3P30AG013846-23S1

Boston University Alzheimer's Disease Center

National Institutes of Health

Grant: 1R01GM135930-01

Optimizing and Learning Strategies for Protein Docking

greenLicense: cc-by-nc-nd

repositoryhttps://www.medrxiv.org/content/medrxiv/early/2021/05/28/2021.03.04.21252582.full.pdf

publisherhttps://syndication.highwire.org/content/doi/10.1101/2021.03.04.21252582

repositoryhttps://doi.org/10.1101/2021.03.04.21252582

https://doi.org/10.1186/s13195-021-00888-3

Fields of Study

Dementia and Cognitive Impairment ResearchMachine Learning in HealthcareNeurobiology of Language and Bilingualism03 medical and health sciences0302 clinical medicine

Keywords

DementiaFramingham Heart StudyReceiver operating characteristicConvolutional neural networkNeuropsychologyCognitionArtificial intelligenceCognitive impairmentRaw scoreDeep learningPercentilePsychologyFramingham Risk ScoreComputer scienceAudiologySpeech recognitionRaw dataMedicineMachine learningStatisticsInternal medicineMathematicsNeuroscienceResearchNeuropsychological testingNeurosciences. Biological psychiatry. NeuropsychiatryVoice recordingHumansCognitive DysfunctionNeurology. Diseases of the nervous systemLongitudinal StudiesNeural Networks, ComputerRC346-429Digital healthRC321-571

Sustainable Development Goals

SDG 3: 3. Good healthSDG 16: 16. Peace & justiceSDG 0: Quality Education