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Deep Learning Model Using Continuous Skin Temperature Data Predicts Labor Onset

medRxiv(2024)10.1101/2024.02.25.24303344Source: DataRank Database

Deep Learning Model Using Continuous Skin Temperature Data Predicts Labor Onset is a research paper published in medRxiv (2024). On theSindex it has a DataRank of 0.

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datarank_citation_only_1hop_v6· scope data_onlyMethodology

Pipeline:MetadataData-paper checkEnrichmentCitation networkScoring

Enrichment:Funding (2 grants)OA: greenTopics (32)IDs (PubMed, OpenAlex)

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Findable (1/2)

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Accessible (1/2)

Open Access

Interoperable (0/2)

Reusable (0/3)

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Authors (4)

Azure D. Grant ORCID,Shravan Aras ORCID,Elise N. Erickson ORCID,Chinmai Basavaraj ORCID

Live enrichment

PubMed:38464102 OpenAlex:https://openalex.org/W4392185215

National Institutes of Health

Grant: 3UL1TR002369-04S2

Oregon Clinical and Translational Research Institute - The National COVID Cohort Collaborative (N3C)

NCATS NIH HHS

Grant: UL1 TR002369

greenLicense: cc-by-nc-nd

repositoryhttps://www.medrxiv.org/content/medrxiv/early/2024/02/27/2024.02.25.24303344.1.full.pdf

publisherhttps://syndication.highwire.org/content/doi/10.1101/2024.02.25.24303344

repositoryhttps://doi.org/10.1101/2024.02.25.24303344

repositoryhttps://pubmed.ncbi.nlm.nih.gov/38464102

Fields of Study

Preterm Birth and ChorioamnionitisThermal Regulation in MedicineInfrared Thermography in Medicine02 engineering and technology0202 electrical engineering, electronic engineering, information engineering

Keywords

Deep learningEconometricsEconomicsArtificial intelligenceComputer scienceSignal processingAdultLabor, ObstetricResearchParturitionGynecology and obstetricsMLArticleWearable Electronic DevicesAIPregnancyMachine learningRG1-991HumansLabor OnsetFemaleSkin Temperaturebiological rhythmsestrogenmaternityprogesteronethermoregulation