Ischemic and haemorrhagic stroke risk estimation using a machine-learning-based retinal image analysis

HIGHLIGHTS

• who: Benny Zee from the Federal University of Uberlandia, Brazil have published the research: Ischemic and haemorrhagic stroke risk estimation using a machine-learning-based retinal image analysis, in the Journal: (JOURNAL)
• what: This analysis demonstrated that the retinal image contains information on the clinical variables that contributed to the model classification .
• how: For the classification models the authors used machine-learning and deep learning techniques. These results showed that retinal characteristics were highly efficient in classifying stroke subtypes. Since there is an age difference between the control and the stroke groups the . . .
  

   

  

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