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Using Machine Learning to Identify Predictors of Maternal and Infant Hair Cortisol Concentration Before and During the COVID‐19 Pandemic

Stress and Health(2025)10.1002/smi.70051Source: DataRank Database

Using Machine Learning to Identify Predictors of Maternal and Infant Hair Cortisol Concentration Before and During the COVID‐19 Pandemic is a research paper published in Stress and Health (2025). On theSindex it has a DataRank of 0.

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Open Access0 citations

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›Methodology & internals

datarank_citation_only_1hop_v6· scope data_onlyMethodology

Pipeline:MetadataData-paper checkEnrichmentCitation networkScoring

Enrichment:Funding (1 grants)Impact (FWCI 0.00)OA: greenTopics (28)IDs (PubMed, 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 (4)

Alyssa R. Morris ORCID,Pia Sellery ORCID,Darby Saxbe ORCID,Gabriel A. León ORCID

Live enrichment

PubMed:40444444 OpenAlex:https://openalex.org/W4410899929

National Institutes of Health

Grant: NIH‐NICHD R01 HD104801

FWCI

0.00

Citation Percentile

0.1%

greenLicense: http://onlinelibrary.wiley.com/termsAndConditions#vor

repositoryhttps://pmc.ncbi.nlm.nih.gov/articles/PMC12857001/

publisherhttps://onlinelibrary.wiley.com/doi/pdf/10.1002/smi.70051

journalhttps://doi.org/10.1002/smi.70051

repositoryhttps://pubmed.ncbi.nlm.nih.gov/40444444

Fields of Study

Stress Responses and CortisolNeuroendocrine regulation and behaviorMenstrual Health and Disorders

MeSH Terms

Machine LearningCOVID-19AdultFemaleHairHumansHydrocortisoneHypothalamo-Hypophyseal SystemInfantMothersRetrospective StudiesStress, PsychologicalUnited States

Keywords

StressorContext (archaeology)CohortPsychologyPandemicDevelopmental psychologyCohort studyClinical psychologyMedicineCoronavirus disease 2019 (COVID-19)Internal medicineDisease

Sustainable Development Goals

SDG 0: Good health and well-being