中国实用儿科杂志2025，Vol.40Issue(8)：673-676,4.DOI:10.19538/j.ek2025080609
机器学习在儿童重症肺炎领域中的研究进展及应用前景
Research advancements and application prospect of machine learning in the field of pediatric severe pneumonia
摘要
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.关键词
儿童重症肺炎/机器学习/多组学方法/精准医疗Key words
pediatric severe pneumonia/machine learning/multi-omics approaches/precision medicine分类
医药卫生引用本文复制引用
董蜜兰,罗征秀..机器学习在儿童重症肺炎领域中的研究进展及应用前景[J].中国实用儿科杂志,2025,40(8):673-676,4.基金项目
2025重庆市科卫联合医学科研重大项目(2025DBXM008) （2025DBXM008）
