03-05-2012 дата публикации
Номер: US20120109683A1
A recommendation system and method includes extracting patient features for a current patient to generate representation of the current patient. The patient features for the current patient are compared to physician features of one or more physicians and patient-to-physician features of a group of patients from medically related records. Outcome measures associated with physicians are compared related to a current query. A future outcome for patient, physician pairs are predicted for the current patient based upon at least one predictive model constructed from the features and outcome measures to output. 1. A recommendation method , comprising:extracting patient features for a current patient to generate representation of the current patient;comparing the patient features for the current patient to physician features of one or more physicians and patient-to-physician features of a group of patients from medically related records;comparing outcome measures associated with physicians related to a current query; andpredicting a future outcome for patient, physician pairs for the current patient based upon at least one predictive model constructed from the features and outcome measures to output.2. The method as recited in claim 1 , wherein extracting patient features includes extracting patient features of a current patient from a patient profile including biographical patient data.3. The method as recited in claim 1 , wherein extracting patient features includes selecting relevant features.4. The method as recited in claim 1 , further comprising extracting physician features from physician profiles including medical practice information and patient treatment information.5. The method as recited in claim 1 , further comprising extracting patient-to-physician features including outcomes of similar patients treated by the one or more physicians.6. The method as recited in claim 1 , wherein comparing outcome measures includes collecting statistics from medical literature ...
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