A machine learning approach in the non-invasive prediction of intracranial pressure using modified photoplethysmography

HIGHLIGHTS

• who: Anmar Abdul-Rahman and collaborators from the for Ophthalmology and, The University of Western Australia, Perth, Australia, Lions Eye have published the research work: A machine learning approach in the non-invasive prediction of intracranial pressure using Modified Photoplethysmography, in the Journal: PLOS ONE of 19/02/2022
• what: Bayesian optimization was used to tune seven of the model hyperparameters aimed at regulating the model fit. Interestingly, this approach had forecasting capability as the authors reported that an abnormal Neurological Pupil index preceded an ICP spike on average by 15.9 hours . The study . . .
  

   

  

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