Commentary: automated machine learning model development for intracranial aneurysm treatment outcome prediction: a feasibility study

HIGHLIGHTS

• who: Lukas Andereggen from the DepartmentBern University Bern, Bern, Switzerland have published the Article: Commentary: Automated Machine Learning Model Development for Intracranial Aneurysm Treatment Outcome Prediction: A Feasibility Study, in the Journal: (JOURNAL)
• what: While the discriminatory ability of the AutoML approach is highest among the statistical approaches in the study presented, the authors did not assess the calibration of the various algorithms.
• future: Calibration gives an estimate of how well the observed outcomes and predictions agree and are crucial in the clinical decision-making thus the authors argue that an assessment of . . .
  

   

  

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