Rapid triage for ischemic stroke: a machine learning-driven approach in the context of predictive, preventive and personalised medicine

HIGHLIGHTS

• who: Yulu Zheng from the For developing the ML-based models, a derivation dataset of, subjects (with , IS-present patients and , IS-absent controls) was usedThe participants were obtained from the Second Affiliated Hospital of Shandong First Medical University (SAH-SFMU) between January , and December, . Clinical data were obtained from the electronic medical records (EMRs), and the data collection was performed after the reference test (computed tomography [CT] and/or magnetic resonance imaging [MRI]) and the index test (routine haematological and biochemistry tests). The outcome IS (ICD-11, ) was defined as a sudden symptom of neurological deficit . . .
  

   

  

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