Exploring predictors of interaction among low-birth-weight infants and their caregivers: a machine learning-based random forest approach.
- DOI
- 10.1186/s12887-024-05080-8
- Published
- 2024 Oct 10
- Container
- BMC pediatrics
- Publisher
- Not recorded
- Open access
- yes
Credibility signals
limited evidence Score 45/100 under policy 1.0.0. This is a metadata assessment, not a judgment of the paper's conclusions.
Show all credibility signals
- cautionDOI registered: No matching Crossref record was present in this response.
- cautionDOI resolves: No matching Crossref record was present in this response.
- not scoredDirectory of Open Access Journals: No matching DOAJ record was present in this response. No allow-list match; this is not evidence of low credibility.
- not scoredMEDLINE indexed: Not checked or no result supplied; no credibility inference made.
- not scoredOpenAlex core source: Not checked or no result supplied; no credibility inference made.
- not scoredKnown publisher allow-list: Not checked or no result supplied; no credibility inference made.
- not scoredROR affiliation: Not checked or no result supplied; no credibility inference made.
- not scoredRetraction Watch retraction: No retraction notice matched this DOI in the deployed snapshot. No matching event found; coverage may be incomplete.
- not scoredRetraction Watch expression of concern: No expression of concern notice matched this DOI in the deployed snapshot. No matching event found; coverage may be incomplete.
- not scoredRetraction Watch correction: No correction notice matched this DOI in the deployed snapshot. No matching event found; coverage may be incomplete.
- not scoredRetraction Watch reinstatement: No reinstatement notice matched this DOI in the deployed snapshot. No matching event found; coverage may be incomplete.
- supportingOpen access status: Normalized open-access status: open.
- not scoredPublication license: Not checked or no result supplied; no credibility inference made.
- not scoredPublication version: A publication version was supplied but is not scored.
- cautionMetadata completeness: 5 of 6 scored descriptive metadata groups are present; missing fields increase uncertainty.
Cite this work
BibTeX
@article{allodium:10.1186/s12887-024-05080-8,
title = {Exploring predictors of interaction among low-birth-weight infants and their caregivers: a machine learning-based random forest approach.},
author = {Wang Q and Gao W and Duan Y and Ren Z and Zhang Y},
year = {2024},
journal = {BMC pediatrics},
doi = {10.1186/s12887-024-05080-8},
url = {https://doi.org/10.1186/s12887-024-05080-8}
}RIS
TY - JOUR TI - Exploring predictors of interaction among low-birth-weight infants and their caregivers: a machine learning-based random forest approach. AU - Wang Q AU - Gao W AU - Duan Y AU - Ren Z AU - Zhang Y PY - 2024 JO - BMC pediatrics DO - 10.1186/s12887-024-05080-8 UR - https://doi.org/10.1186/s12887-024-05080-8 ER -
APA
Q, W., W, G., Y, D., Z, R., & Y, Z. (2024). Exploring predictors of interaction among low-birth-weight infants and their caregivers: a machine learning-based random forest approach.. BMC pediatrics. https://doi.org/10.1186/s12887-024-05080-8
Source records
- pubmed · retrieved 2026-09-25T13:57:48.945Z