Deep learning for identification of acute illness and facial cues of illness

HIGHLIGHTS

• who: Castela Forte from the Huazhong University of Science and Technology, China have published the research: Deep Learning for Identification of Acute Illness and Facial Cues of Illness, in the Journal: (JOURNAL)
• how: An overview of the different steps of this study is provided in Figure 1. All results are presented with a 95% confidence interval. Confusion matrices aggregating the predictions made by the final models are provided in Figure 3. The authors developed a deep learning algorithm combining multiple convolutional neural_networks to distinguish between healthy and acutely ill individuals based on facial feature analysis . . .
  

   

  

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