Prediction of coronary artery lesions in children with Kawasaki syndrome based on machine learning.
Journal Information
Journal Title: BMC Pediatr
Detailed journal information not available.
Publication Details
Transparency Score
Transparency Indicators
Click on green indicators to view evidence textCore Indicators
"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."
"Funding This work was supported by National Natural Science Fund of China (81970249), Qingdao Science and Technology Plan (20-3-4-47-nsh)."
Additional Indicators
Assessment Info
Tool: rtransparent
OST Version: N/A
Last Updated: Aug 05, 2025