Self-evolving predictive model
AssigneeThe Cleveland Clinic Foundation
InventorsWael K. Barsoum, Michael K. Kattan, Douglas R. Johnston, William H. Morris
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Abstract
Systems and methods are provided for predicting clinical parameters. A model of a plurality of models having a sufficient accuracy, given a received set of predictors, is selected. A value for a clinical parameter is predicted from the selected model and the set of predictors to provide a predicted value. A value for the clinical parameter is measured, and the model is updated according to the set of predictors and the measured value.
Claims20
A non-transitory computer readable medium storing machine executable instructions executable by a processor to perform a method for predicting clinical parameters, the method comprising:
- selecting a model of a plurality of models having a highest accuracy given a received set of predictors;
- predicting a value for a clinical parameter from the selected model and the set of predictors to provide a predicted value;
- measuring a value for the clinical parameter;
- and
- updating the model according to the set of predictors and the measured value.
A system for predicting clinical parameters comprising:
- a processor;
- and
- a non-transitory computer readable medium storing machine executable instructions executable by the processor, the machine executable instructions comprising:
- a plurality of predictive models;
- a model selector configured to select a first model from a plurality of predictive models according to a set of predictors representing a patient, and a set of models each utilizing a predictor not present in the set of predictors representing the patient;
- a sensitivity analysis component configured to determine an expected accuracy for each of the selected set of models given the set of predictors representing the patient and the predictor not present in the set of predictors and notifying a user via an associated display if the expected accuracy of any of the set of models exceeds an accuracy of the first model by more than a threshold value.
A non-transitory computer readable medium storing machine executable instructions executable by a processor to perform a method for predicting clinical parameters, the method comprising:
- selecting a model of a plurality of models having a highest accuracy given a received set of predictors and a set of models each utilizing a predictor not present in the set of predictors representing the patient;
- predicting a value for a clinical parameter from the selected model and the set of predictors to provide a predicted value;
- determining an expected accuracy for each of the set of models given the set of predictors representing the patient and the predictor not present in the set of predictors;
- notifying a user if an increase in the expected accuracy exceeds a threshold value
- measuring a value for the clinical parameter;
- and
- updating the model according to the set of predictors and the measured value.
Dependencies are inferred from the claim text.