Evaluation of blood biomarkers and parameters for the prediction of stroke survivors’ functional outcome upon discharge utilizing explainable machine learning

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  • who: Aimilios Gkantzios and collaborators from the Department of Neurology, School of Medicine, University Hospital of Alexandroupolis, Democritus University of Thrace, Alexandroupolis, Greece have published the article: Evaluation of Blood Biomarkers and Parameters for the Prediction of Stroke Survivorsu2019 Functional Outcome upon Discharge Utilizing Explainable Machine Learning, in the Journal: Diagnostics 2023, 532 of /2023/
  • what: The authors aimed to develop an explainable machine learning methodology to predict outcomes of patients at discharge using the Modified Rankin Scale (mRS) as a binary classification problem. The aim of the study at hand is to collect and . . .

     

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