Medical imaging device fault handling
AssigneeKoninklijke Philips N.V.
InventorsQi Gao, Meru Adagouda Patil, Soubhik Paul, Nagaraju Bussa
Life of this patent
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Abstract
Proposed are concepts pertaining to aiding fault diagnosis through the consideration of the relevance of different log files to a fault. In particular, embodiments of the invention propose generating predicted relevance scores for different log files, and/or content contained therein. The most relevant log file(s), or parts thereof, may then be prioritized for provision to an engineer, for example.
Claims14
A method for diagnosing a fault of a medical imaging device, the method comprising:
- determining a relevance of log files to the fault of the medical imaging device, the medical imaging device comprising a plurality of subsystems, and each log file being associated with a respective subsystem of the medical imaging device, the determining a relevance of log files to the fault of the medical imaging device comprising:
- obtaining initial problem input data relating to the fault of the medical imaging device;
- performing a first natural language processing analysis on the initial problem input data to identify one or more features of the medical imaging device fault;
- providing one or more features of the medical imaging device fault to a machine learning algorithm, the machine learning algorithm being trained to predict, for each of the plurality of subsystems of the medical imaging device, a fault probability indicating a likelihood that the fault of the medical imaging device originated from the subsystem;
- obtaining a prediction result from the machine learning algorithm, the prediction result comprising a fault probability for each of the plurality of subsystems of the medical imaging device;
- and
- determining, for content of each log file, a relevance score based on the obtained prediction result;
- and
- wherein the method for diagnosing the fault of the medical imaging device further comprises:
- generating a prioritized list of the log files based on the determined relevance of the content of a plurality of log files.
A method for determining severity of a fault of a medical imaging device comprising a plurality of subsystems, the method comprising:
- obtaining initial input data from a user relating to the fault of the medical imaging device;
- performing a first natural language processing analysis on the initial input data to determine a first severity score relating to a description of the fault;
- analysing the initial input data and the plurality of subsystems to determine a second severity score relating to the subsystems of the medical imaging device;
- and
- determining an overall severity score indicating a severity of the fault based on the first severity score and the second severity score;
- wherein the method further comprises for a plurality of log files associated with respective subsystems of the medical imaging device, generating a prioritized list of the plurality of log files based on the determined severity of the fault.
A system for determining a relevance of log files to a fault of a medical imaging device, the medical imaging device comprising a plurality of subsystems, and each log file being associated with a respective subsystem of the medical imaging device, the system comprising:
- a data interface configured to obtain initial problem input data relating to the fault of the medical imaging device;
- a natural language processing component configured to perform a first natural language processing analysis on the initial problem input data to identify one or more features of the medical imaging device fault;
- and
- a machine learning algorithm configured to receive one or more features of the medical imaging device fault, the machine learning algorithm being trained to output a prediction result comprising a fault probability for each of the plurality of subsystems of the medical imaging device, a fault probability indicating a likelihood that the fault of the medical imaging device originated from the subsystem;
- and
- a processor configured to determine, for each log file, a relevance score based on the obtained prediction result;
- and
- wherein the processor is further configured to:
- generate a prioritized list of the log files based on the determined relevance of a plurality of log files;
- and
- transmit the log files in the prioritized list over a data communication channel to a remote processing device, and in a priority order defined by the prioritized list, the remote processing device being configured for analysing the transmitted log files and for diagnosing the fault of the medical imaging device based on a result of the analysing.
Dependencies are inferred from the claim text.