Identification of important factors in an inpatient fall risk prediction model to improve the quality of care using EHR and electronic administrative data: A machine-learning approach
International Journal of Medical Informatics(2020)
摘要
•Existing fall risk prediction methods may not fully capture patient fall risk.•Machine learning with electronic health record data could help predict fall risk.•Forest-based machine learning methods produce variable importance measures.•Important features can help hospital administration and staff reduce fall risk.
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