Research advancements and application prospect of machine learning in the field of pediatric severe pneumonia
DONG Mi-lan
LUO Zheng-xiu
Abstract：Early diagnosis and timely intervention in severe pneumonia play a vital role in reducing mortality rates of children with pneunomia.Machine learning(ML)holds potential advantages in the early diagnosis and treatment of severe pneumonia.This article analyzes the application progress of ML in three key clinical domains of severe pneumonia in children:early warning,diagnosis,and prognosis prediction,aiming to establish intelligent digital tools for early detection,precise diagnosis and treatment,and stratified management of severe pneumonia in children.
Keywords：pediatric severe pneumoniamachine learningmulti-omics approachesprecision medicine
Publication Date：2025-08-06
Online Publishing Date：2025-09-30(First online date of this platform, not the publication date of the document)
Pages：4( 673-676 )