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Machine Learning Approaches to Predict In-Hospital Mortality among Neonates with Clinically Suspected Sepsis in the Neonatal Intensive Care Unit.

Jen-Fu HsuYing-Feng ChangHui-Jun ChengChi YangChun-Yuan LinShih-Ming ChuHsuan-Rong HuangMing-Chou ChiangHsiao-Chin WangMing-Horng Tsai
Published in: Journal of personalized medicine (2021)
the DNN model was successfully established to predict in-hospital mortality in neonates with clinically suspected sepsis, and the machine learning algorithm is applicable for clinicians to gain insights and have better communication with families in advance.
Keyphrases
  • machine learning
  • septic shock
  • acute kidney injury
  • low birth weight
  • artificial intelligence
  • intensive care unit
  • pulmonary embolism
  • preterm infants
  • big data
  • deep learning
  • palliative care
  • preterm birth