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Predicting Osteoarthritis of the Temporomandibular Joint Using Random Forest with Privileged Information

Lecture notes in computer science(2022)10.1007/978-3-031-23223-7_7Source: DataRank Database

Predicting Osteoarthritis of the Temporomandibular Joint Using Random Forest with Privileged Information is a research paper published in Lecture notes in computer science (2022). On theSindex it has a DataRank of 0. It has been cited 1 time.

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Open Access1 citations

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›Methodology & internals

datarank_citation_only_1hop_v6· scope data_onlyMethodology

Pipeline:MetadataData-paper checkEnrichmentCitation networkScoring

Enrichment:Funding (3 grants)Impact (FWCI 2.65)OA: greenTopics (18)IDs (PubMed, PMC, OpenAlex)SDGs (1)

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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Authors (6)

Najla Al Turkestani ORCID,Jonas Bianchi ORCID,Marcela Gurgel ORCID,Lucía Cevidanes ORCID,Arvind Rao ORCID

Live enrichment

PubMed:37416761 PMC:PMC10323493 OpenAlex:https://openalex.org/W4312406209

NIDCR NIH HHS

Grant: R01 DE024450

NCI NIH HHS

Grant: R37 CA214955

NIGMS NIH HHS

Grant: T32 GM070449

FWCI

2.65

Citation Percentile

0.9%

Citation Trend

2024

greenLicense: https://www.springernature.com/gp/researchers/text-and-data-mining

repositoryhttps://pmc.ncbi.nlm.nih.gov/articles/PMC10323493/pdf/nihms-1908708.pdf

publisherhttps://link.springer.com/content/pdf/10.1007/978-3-031-23223-7_7

repositoryhttps://www.ncbi.nlm.nih.gov/pmc/articles/10323493

book serieshttps://doi.org/10.1007/978-3-031-23223-7_7

Fields of Study

Temporomandibular Joint DisordersDental Radiography and ImagingPeriodontal Regeneration and Treatments

Keywords

OsteoarthritisTemporomandibular jointComputer scienceRandom forestArtificial intelligenceJoint (building)Feature (linguistics)CondyleMachine learningPattern recognition (psychology)OrthodonticsMedicinePathologyMultimodal LearningPrivileged Learning

Sustainable Development Goals

SDG 0: Life in Land