Machine learning approaches for practical predicting outpatient near-future AECOPD based on nationwide electronic medical records
- DOI
- 10.1016/j.isci.2024.109542
- Published
- 2024-04
- Container
- iScience
- Publisher
- Elsevier BV
- Open access
- unknown
Credibility signals
uncertain Score 64/100 under policy 1.0.0. This is a metadata assessment, not a judgment of the paper's conclusions.
Show all credibility signals
- supportingDOI registered: A matching record was returned by Crossref.
- supportingDOI resolves: A matching record was returned by Crossref.
- 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.
- supportingMetadata completeness: All 6 scored descriptive metadata groups are present.
Cite this work
BibTeX
@article{allodium:10.1016/j.isci.2024.109542,
title = {Machine learning approaches for practical predicting outpatient near-future AECOPD based on nationwide electronic medical records},
author = {Kuang-Ming Liao and Kuo-Chen Cheng and Mei-I Sung and Yu-Ting Shen and Chong-Chi Chiu and Chung-Feng Liu and Shian-Chin Ko},
year = {2024},
journal = {iScience},
doi = {10.1016/j.isci.2024.109542},
url = {https://doi.org/10.1016/j.isci.2024.109542}
}RIS
TY - JOUR TI - Machine learning approaches for practical predicting outpatient near-future AECOPD based on nationwide electronic medical records AU - Kuang-Ming Liao AU - Kuo-Chen Cheng AU - Mei-I Sung AU - Yu-Ting Shen AU - Chong-Chi Chiu AU - Chung-Feng Liu AU - Shian-Chin Ko PY - 2024 JO - iScience DO - 10.1016/j.isci.2024.109542 UR - https://doi.org/10.1016/j.isci.2024.109542 ER -
APA
Liao, K., Cheng, K., Sung, M., Shen, Y., Chiu, C., Liu, C., & Ko, S. (2024). Machine learning approaches for practical predicting outpatient near-future AECOPD based on nationwide electronic medical records. iScience. https://doi.org/10.1016/j.isci.2024.109542
Source records
- crossref · retrieved 2026-09-26T18:51:13.227Z