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Revealing the impact of lifestyle stressors on the risk of adverse pregnancy outcomes with multitask machine learning

Frontiers in Pediatrics(2022)10.3389/fped.2022.933266Source: DataRank Database

Revealing the impact of lifestyle stressors on the risk of adverse pregnancy outcomes with multitask machine learning is a research paper published in Frontiers in Pediatrics (2022). On theSindex it has a DataRank of 0.292. It has been cited 6 times.

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0.292DataRank · unranked

Scored on demand from live citation data

Open Access6 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: goldTopics (10)IDs (PubMed)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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DataRank Breakdown

Base Score 100%Citation Network 0%

Base Score Contribution

0.292

From this paper's citation signal

Citation Network Contribution

Citation network not refreshed for this result

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Authors (32)

Jennifer Dai,Alan L. Chang ORCID,Dorien Feyaerts ORCID,Ina A. Stelzer ORCID,Miao Zhang ORCID

Live enrichment

PubMed:36582513

NIH

Grant: R35GM138353, R01HD105256, P01HD106414, 1R01HL139844, 19PABHI34580007, R61NS114926, R01AG058417, P30AG066515

American Heart Association

Grant: 19PABHI34580007, 01IS22077

Burroughs Wellcome Fund

Grant: 01IS22077

Robertson Foundation

Grant: 1019816

Bill and Melinda Gates Foundation

Grant: INV-001734, OPP1113682, INV-003225

National Institutes of Health

Grant: 5R01AG058417-03

Dietary Modulation of Neuroinflammation in Age-Related Memory Disorders

National Institutes of Health

Grant: 5R01HL139844-02

Preeclampsia to cardiovascular disease: Life course analysis of biomarkers and risk

National Institutes of Health

Grant: 1P01HD106414-01

UCSF Stanford Endometriosis Center for Discovery, Innovation, Training and Community Engagement

National Institutes of Health

Grant: 1R61NS114926-01

SPRINT: Signature for Pain Recovery IN Teens

National Institutes of Health

Grant: 5R35GM138353-03

Machine Learning for Integrative Modeling of the Immune System in Clinical Settings

National Institutes of Health

Grant: 5R01HD105256-04

Trio Analysis of Recurrent Pregnancy Loss Integrated Bioinformatics Genomics Study (TRIOS)

National Institutes of Health

Grant: 5P30AG066515-03

Stanford Alzheimer's Disease Research Center

NICHD NIH HHS

Grant: K99 HD105016

goldLicense: cc-by

publisherhttps://www.frontiersin.org/articles/10.3389/fped.2022.933266/pdf

publisherhttps://www.frontiersin.org/articles/10.3389/fped.2022.933266/full

repositoryhttps://www.ncbi.nlm.nih.gov/pmc/articles/9793100

https://doi.org/10.3389/fped.2022.933266

https://pubmed.ncbi.nlm.nih.gov/36582513

Fields of Study

03 medical and health sciences0302 clinical medicine

Keywords

immune statesadverse pregnancy outcomes (APO)multitask machine learningpsychosocial and stress-related factorspredictionsingle-cellPediatricsRJ1-570

Sustainable Development Goals

SDG 3: 3. Good health