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AssigneeKoninklijke Philips N.V.
InventorEran SIMHON
Estimating the term…
In certain embodiments, graphical representations of factors for risk adjustment of a key performance indicator may be presented, and a user selection of a factor subset may be received. Training information may be provided as input to a machine learning model to predict values of the key performance indicator for the selected factor subset. The training information may indicate values of the factor subset associated with a provider. Reference feedback may then be provided to the machine learning model, the reference feedback comprising historic values of the key performance indicator for the provider based on the values of the factor subset that are associated with the provider. The machine learning model may then update portions of the machine learning model based on the reference feedback. The values of the factor subset may then be provided to the updated machine learning model to obtain predicted values of the key performance indicator.
A system for facilitating training of a machine learning model based on user-selected factors related to a key performance indicator, the system comprising:
A method implemented by one or more processors executing computer program instructions that, when executed, perform the method, the method comprising:
A non-transitory, computer-readable medium storing instructions that, when executed by one or more processors, cause operations comprising:
Dependencies are inferred from the claim text.