- North Kansas City MO, US Andrew Roberts - Overland Park KS, US Joseph O'Malley - Mission KS, US
International Classification:
G16H 50/30 G16H 50/20 G16H 10/60
Abstract:
Systems, methods, and media are provided for predicting fall risk for a post-acute care patient. Patient data for the post-acute care patient is received. Features from the patient data are extracted. The features include one or more polypharmacy features. Other features may include lab or vital features. Based on the features extracted from the patient data, a prediction of the post-acute care patient suffering a fall within the future is generated using one or more machine learning models. The one or more machine learning models may be trained using one or more of binary features, continuous features, categorical features, free-text features, or a combination thereof. An action is initiated based on the prediction of the post-acute care patient suffering a fall. The action is associated with reducing the risk of the patient fall, such adjusting the lighting in the patient's room, for example.
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Youtube
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