SYSTEMS AND METHODS OF GENERATING MEDICAL CONCORDANCE SCORES
Examples may provide an electronic neural network that has been trained on a set of training data that comprises a plurality of reference subject medical data sets that are each labeled with a medical determination and are each assigned a ground truth concordance score generated by a plurality of ex...
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| creator | GRULLON, Sean IANNI, Julianna SPURRIER, Vaughn |
| description | Examples may provide an electronic neural network that has been trained on a set of training data that comprises a plurality of reference subject medical data sets that are each labeled with a medical determination and are each assigned a ground truth concordance score generated by a plurality of experts in which a value of a given ground truth concordance score comprises a fraction of the plurality of experts, if any, that are in accord with the medical determination label of a given reference subject medical data set in the plurality of reference subject medical data sets. The electronic neural network is configured to provide an output concordance score of the medical determination being indicated by a test subject medical data set. |
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| subjects | CALCULATING COMPUTER SYSTEMS BASED ON SPECIFIC COMPUTATIONAL MODELS COMPUTING COUNTING HEALTHCARE INFORMATICS, i.e. INFORMATION AND COMMUNICATIONTECHNOLOGY [ICT] SPECIALLY ADAPTED FOR THE HANDLING ORPROCESSING OF MEDICAL OR HEALTHCARE DATA INFORMATION AND COMMUNICATION TECHNOLOGY [ICT] SPECIALLY ADAPTEDFOR SPECIFIC APPLICATION FIELDS PHYSICS |
| title | SYSTEMS AND METHODS OF GENERATING MEDICAL CONCORDANCE SCORES |
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