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The Application of Machine Learning in Predicting Mortality Risk in Patients With Severe Femoral Neck Fractures: Prediction Model Development Study.

Lingxiao XuJun LiuChunxia HanZi-Sheng Ai
Published in: JMIR bioinformatics and biotechnology (2022)
Death risk assessment models constructed using machine learning have positive significance for predicting the in-hospital mortality of patients with severe disease and provide a valid basis for reducing in-hospital mortality and improving patient prognosis.
Keyphrases
  • risk assessment
  • machine learning
  • early onset
  • human health
  • heavy metals
  • drug induced
  • big data
  • climate change