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Evaluation of the Need for Intensive Care in Children With Pneumonia: Machine Learning Approach.

Yun-Chung LiuHao-Yuan ChengTu-Hsuan ChangTe-Wei HoTing-Chi LiuTing-Yu YenChia-Ching ChouLuan-Yin ChangFeipei Lai
Published in: JMIR medical informatics (2022)
The ML approach could provide a clinically applicable triage algorithm and identify important clinical indices, such as age, underlying diseases, abnormal vital signs, and laboratory data for evaluating the need for intensive care in children with pneumonia.
Keyphrases
  • machine learning
  • young adults
  • emergency department
  • big data
  • deep learning
  • artificial intelligence
  • electronic health record
  • community acquired pneumonia