Dealing with missing, imbalanced, and sparse features during the development of a prediction model for sudden death using emergency medicine data: machine learning approach

HIGHLIGHTS

• who: Unknown from the Key Laboratory of Biomedical Engineering of Hainan Province, School of Biomedical Engineering, Hainan University, Haikou, China have published the research work: Dealing With Missing, Imbalanced, and Sparse Features During the Development of a Prediction Model for Sudden Death Using Emergency Medicine Data: Machine Learning Approach, in the Journal: (JOURNAL) of July/27,/2017
• what: To solve the aforementioned 3 problems, the authors propose a series of ML approaches to increase fitting ability and generalization ability. Using the approach, the authors developed a sudden-death predication model. The other is based on . . .
  

   

  

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