Why the study?
Does a machine learning ensemble model accurately predict inpatient length of stay after brain tumor surgery?
Does a machine learning ensemble model accurately predict inpatient length of stay after brain tumor surgery?
An ML ensemble model demonstrates good performance in predicting inpatient length of stay after brain tumor surgery across internal and external validation.
May aid perioperative planning after brain tumor surgery; hypothesis-generating until tested prospectively.
An ML ensemble model predicts LOS with good performance on internal and external validation, and yields clinical insights that may potentially improve patient outcomes. This systematic ML method can be applied to a broad range of clinical problems to improve patient care.
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Muhlestein et al. (2018) studied this question.
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