Prediction of coronary artery lesions in children with Kawasaki syndrome based on machine learning.

Authors:
Tang Y; Liu Y; Du Z; Wang Z; Pan S.

Journal:
BMC Pediatr

Publication Year: 2024

DOI:
10.1186/s12887-024-04608-2

PMCID:
PMC10916227

PMID:
38443868

Journal Information

Journal Title: BMC Pediatr

Detailed journal information not available.

Publication Details

Subject Category: Pediatrics

Available in Europe PMC: Yes

Available in PMC: Yes

PDF Available: No

Transparency Score
3/6
50.0% Transparent
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Evidence found in paper:

"Declarations Ethics approval and consent to participateThe study protocol conforms to the ethical guidelines of the 1975 Declaration of Helsinki and has been approved and informed by the institutional review board of the ethics committee of the Qingdao Women and Children’s Hospital. Informed consent was obtained from the children’s parents through telephone follow-up. Confidentiality of the information was secured throughout the study process. Furthermore, the collected data were anonymous. Consent for publicationNot applicable. Competing interestsThe authors declare no competing interests. Competing interests The authors declare no competing interests."

Evidence found in paper:

"Funding This work was supported by National Natural Science Fund of China (81970249), Qingdao Science and Technology Plan (20-3-4-47-nsh)."

Protocol Registration
Open Access
Paper is freely available to read
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Assessment Info

Tool: rtransparent

OST Version: N/A

Last Updated: Aug 05, 2025