A Machine Learning Model to Predict Intravenous Immunoglobulin-Resistant Kawasaki Disease Patients: A Retrospective Study Based on the Chongqing Population
Objective: We explored the risk factors for intravenous immunoglobulin (IVIG) resistance in children with Kawasaki disease (KD) and constructed a prediction model based on machine learning algorithms.Methods: A retrospective study including 1,398 KD patients hospitalized in 7 affiliated hospitals of...
Saved in:
Main Authors: | , , , , , , |
---|---|
Format: | article |
Language: | EN |
Published: |
Frontiers Media S.A.
2021
|
Subjects: | |
Online Access: | https://doaj.org/article/5eacca8f125747a398c0e71407d85db0 |
Tags: |
Add Tag
No Tags, Be the first to tag this record!
|