Predicting length of stay ranges by using novel deep neural networks

HIGHLIGHTS

• who: Hong Zou from the General Hospital), China Cancer Center, West China Hospital, Sichuan University and Collaborative Innovation Center of have published the Article: Predicting length of stay ranges by using novel deep neural networks, in the Journal: (JOURNAL)
• what: The authors improve the basic GAN for LOS range prediction; this improved GAN is called the Wasserstein GAN with a gradient penalty for the LOS (WGAN-GP for LOS) (as shown in Figure 4). The authors attempted to predict the specific LOS range for each patient. In this part of the study, the authors investigate . . .
  

   

  

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