System and method for classifying and managing medical application disconnects
AssigneeKoninklijke Philips N.V.
InventorJohn Price Harrod, IV
Life of this patent
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Abstract
A method for processing information includes receiving a feature set for an application in a medical system, determining a disconnection between the application and a monitoring station, and determining a type of the disconnection based on information in the received feature set. The type of disconnection may be determined by inputting the feature set into a classifier trained to automatically determine the type of disconnection based on the information in the feature set. Information indicative of the type of disconnection may then be input into a rules-based engine, which generates a recommendation for remediating or otherwise managing the classified disconnection.
Claims18
A method for processing information, comprising:
- receiving a feature set for an application in a medical system;
- determining a disconnection between the application and a monitoring station;
- and
- determining a type of the disconnection based on information in the feature set, wherein the information in the feature set includes a plurality of categories of information relating to the application, each category in the plurality of categories of information being indicative of a different parameter relating to the disconnection,
- wherein the plurality of categories of information include at least two of a first category including a plurality of application state features, a second category including a plurality of device state features, or a third category including a plurality of network statistics features, and
- wherein determining the type of disconnection includes inputting the feature set into a classifier trained to automatically determine the type of disconnection based on a predetermined combination of one or more of the application state features of the first category, one or more of the device state features of the second category, and/or one or more of the network statistics features of the third category in the feature set.
A system for processing information, comprising:
- a memory configured to store instructions;
- and
- a processor configured to execute the instructions to:
- receive a feature set for an application in a medical system;
- determine a disconnection between the application and a monitoring station;
- and
- determine a type of the disconnection based on information in the feature set,
- wherein the information in the feature set includes a plurality of categories of information relating to the application, wherein each category in the plurality of categories of information is indicative of a different parameter relating to the disconnection,
- wherein the plurality of categories of information include at least two of a first category including a plurality of application state features, a second category including a plurality of device state features, or a third category including a plurality of network statistics features, and
- wherein the processor is configured to determine the type of the disconnection based on a classifier trained to automatically determine the type of the disconnection based on a predetermined combination of one or more of the application state features of or more of the network statistics features of the third category in the feature set.
A non-transitory computer readable medium storing instructions that, when executed by a processor, cause the processor to:
- receive a feature set for an application in a medical system;
- determine a disconnection between the application and a monitoring station;
- and
- determine a type of the disconnection based on information in the feature set,
- wherein the information in the feature set includes a plurality of categories of information relating to the application, each category in the plurality of categories of information being indicative of a different parameter relating to the disconnection,
- wherein the plurality of categories of information include at least two of a first category including a plurality of application state features, a second category including a plurality of device state features, or a third category including a plurality of network statistics features, and
- wherein the type of the disconnection is determined by inputting the feature set into a classifier trained to automatically determine the type of the disconnection based on a predetermined combination of one or more of the application state features of the first category, one or more of the device state features of the second category, and/or one or more of the network statistics features of the third category in the feature set.
Dependencies are inferred from the claim text.