Investigating the potential for machine learning prediction of patient outcomes: a retrospective study of hospital acquired pressure injuries

2020-04-01 health informatics Title + abstract only

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BackgroundWhile recent research efforts to reduce pressure ulcers in the clinical context have focused on key retrospective characteristics, little work has focused on creating real-time predictive models to prevent this avoidable hospital-acquired injury. Furthermore, existing machine learning heuristics often fail to surpass traditional statistical models or provide individual-level risk assessments with explanations for each patient. Thus, we sought to compare the predictive performance of fi...

Investigating the potential for machine learning prediction of patient outcomes: a retrospective study of hospital acquired pressure injuries

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