Aneurysmal subarachnoid hemorrhage prognostic decision-making algorithm using classification and regression tree analysis.
CONCLUSIONS: A clinically useful classification tree was generated, which serves as a prediction tool to guide bedside prognostication and clinical treatment decision making. This prognostic decision-making algorithm also shed light on the complex interactions between a number of risk factors in determining outcome after aneurysmal SAH.
PMID: 27512607 [PubMed]
Source: Surgical Neurology International - Category: Neurosurgery Tags: Surg Neurol Int Source Type: research
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