公开(公告)号：US11699508B2

公开(公告)日：2023-07-11

申请号：US16700137

申请日：2019-12-02

Applicant: MERATIVE US L.P.

Inventor： Marina Bendersky ,  Tanveer Fathima Syeda-Mahmood ,  Joy Tzung-yu Wu

IPC: G16H15/00 ,  G16H50/70 ,  G06N20/00 ,  G06N5/04 ,  G16H70/00 ,  G16H30/40 ,  G06F18/2431 ,  G06V10/75

CPC classification number: G16H15/00 ,  G06F18/2431 ,  G06N5/04 ,  G06N20/00 ,  G06V10/75 ,  G16H30/40 ,  G16H50/70 ,  G16H70/00

Abstract: Systems and methods for developing a classification model for classifying medical reports, such as radiology reports. One method includes selecting, from a corpus of reports, a training set and a testing set, assigning labels of a modality and an anatomical focus to the reports in both sets, and extracting a sparse representation matrix for each set based on features in the training set. The method also includes learning, with one or more electronic processors, a correlation between the features of the training set and the corresponding labels using a machine learning classifier, thereby building a classification model and testing the classification model on the reports in the testing set for accuracy using the sparse representation matrix of the testing set. The method further includes predicting, with the classification model, labels of an anatomical focus and a modality for remaining reports in the corpus not included in the sets.