Explainable prediction of problematic smartphone use among South Korea's children and adolescents using a Machine learning approach.
- DOI
- 10.1016/j.ijmedinf.2024.105441
- Published
- 2024 Jun
- Container
- International journal of medical informatics
- Publisher
- Not recorded
- Open access
- unknown
Credibility signals
limited evidence Score 43/100 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.
- not scoredOpen access status: Not checked or no result supplied; no credibility inference made.
- 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:10.1016/j.ijmedinf.2024.105441,
title = {Explainable prediction of problematic smartphone use among South Korea's children and adolescents using a Machine learning approach.},
author = {Kim K and Yoon Y and Shin S},
year = {2024},
journal = {International journal of medical informatics},
doi = {10.1016/j.ijmedinf.2024.105441},
url = {https://doi.org/10.1016/j.ijmedinf.2024.105441}
}RIS
TY - JOUR TI - Explainable prediction of problematic smartphone use among South Korea's children and adolescents using a Machine learning approach. AU - Kim K AU - Yoon Y AU - Shin S PY - 2024 JO - International journal of medical informatics DO - 10.1016/j.ijmedinf.2024.105441 UR - https://doi.org/10.1016/j.ijmedinf.2024.105441 ER -
APA
K, K., Y, Y., & S, S. (2024). Explainable prediction of problematic smartphone use among South Korea's children and adolescents using a Machine learning approach.. International journal of medical informatics. https://doi.org/10.1016/j.ijmedinf.2024.105441
Source records
- pubmed · retrieved 2026-09-26T00:58:24.964Z