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Early prediction of mortality and morbidities in VLBW preterm neonates using machine learning

Pediatric Research(2024)10.1038/s41390-024-03604-7Source: DataRank Database

Early prediction of mortality and morbidities in VLBW preterm neonates using machine learning is a research paper published in Pediatric Research (2024). On theSindex it has a DataRank of 0. It has been cited 17 times.

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0DataRank · unranked

Scored on demand from live citation data

Open Access17 citations

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datarank_citation_only_1hop_v6· scope data_onlyMethodology

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Enrichment:Funding (5 grants)Impact (FWCI 5.29)OA: greenTopics (43)IDs (PubMed, PMC, OpenAlex)Annotations (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 (8)

Rema Zebda,Camilo Espinosa ORCID,Jonathan D. Reiss ORCID,Anne Debuyserie,Kristina M. Reber ORCID

Live enrichment

PubMed:39379627 PMC:PMC12249422 OpenAlex:https://openalex.org/W4403214212

NICHD NIH HHS

Grant: R01 HD112886

Gates Foundation

Grant: INV-037517

NIGMS NIH HHS

Grant: R35 GM138353

National Institutes of Health

Grant: 5R35GM138353-03

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

National Institutes of Health

Grant: 5R01HD112886-02

Machine Learning and Multiomics for Predictive Models and Biomarker Discovery in Preterm Infants.

FWCI

5.29

Citation Percentile

1.0%

Influential Citations

Citation Trend

2025

2026

greenLicense: Springer Nature TDM

repositoryhttps://digitalcommons.library.tmc.edu/cgi/viewcontent.cgi?article=6838&context=baylor_docs

GREENhttps://digitalcommons.library.tmc.edu/cgi/viewcontent.cgi?article=6838&context=baylor_docs

repositoryhttps://digitalcommons.library.tmc.edu/cgi/viewcontent.cgi?article=6838&context=baylor_docs

publisherhttps://www.nature.com/articles/s41390-024-03604-7.pdf

publisherhttps://www.nature.com/articles/s41390-024-03604-7

Fields of Study

Neonatal Respiratory Health ResearchPreterm Birth and ChorioamnionitisRetinopathy of Prematurity StudiesMedicine02 engineering and technology0202 electrical engineering, electronic engineering, information engineering

MeSH Terms

Machine LearningAlgorithmsBronchopulmonary DysplasiaFemaleHumansInfant MortalityInfant, NewbornInfant, PrematureInfant, Premature, DiseasesMaleMorbidityRetrospective StudiesROC CurveInfant, Very Low Birth WeightEnterocolitis, Necrotizing

Keywords

Psychological interventionMedicineNeonatal mortalityInfant mortalityPediatricsIntensive care medicineEnvironmental healthPopulationMaleInfant, NewbornInfant, Premature, DiseasesMachine LearningROC CurveEnterocolitis, NecrotizingHumansInfant, Very Low Birth WeightFemaleMorbidityInfant, PrematureAlgorithmsRetrospective StudiesBronchopulmonary Dysplasia

Early prediction of mortality and morbidities in VLBW preterm neonates using machine learning

FAIR Checklist

Authors (8)

Funding (5 grants)

Impact

Open Access

Topics

Annotations (Europe PMC)