The patent badge is an abbreviated version of the USPTO patent document. The patent badge does contain a link to the full patent document.

The patent badge is an abbreviated version of the USPTO patent document. The patent badge covers the following: Patent number, Date patent was issued, Date patent was filed, Title of the patent, Applicant, Inventor, Assignee, Attorney firm, Primary examiner, Assistant examiner, CPCs, and Abstract. The patent badge does contain a link to the full patent document (in Adobe Acrobat format, aka pdf). To download or print any patent click here.

Date of Patent:
Nov. 07, 2023

Filed:

Nov. 17, 2020
Applicant:

Siemens Healthcare Gmbh, Erlangen, DE;

Inventors:

Rajeev Bhatt Ambati, Plainsboro, NJ (US);

Oladimeji Farri, Upper Saddle River, NJ (US);

Ramya Vunikili, Secaucus, NJ (US);

Assignee:

Siemens Healthcare GmbH, Erlangen, DE;

Attorney:
Primary Examiner:
Int. Cl.
CPC ...
G06F 40/00 (2020.01); G06F 40/30 (2020.01); G16H 50/20 (2018.01); G16H 30/20 (2018.01); G16H 30/40 (2018.01); G06N 3/08 (2023.01); G06F 40/279 (2020.01); G16H 70/60 (2018.01); A61B 6/00 (2006.01); A61B 6/03 (2006.01);
U.S. Cl.
CPC ...
G06F 40/30 (2020.01); G06F 40/279 (2020.01); G06N 3/08 (2013.01); G16H 30/20 (2018.01); G16H 30/40 (2018.01); G16H 50/20 (2018.01); G16H 70/60 (2018.01); A61B 6/032 (2013.01); A61B 6/503 (2013.01);
Abstract

For assertion detection from clinical text in a medical system, a model, such as a neural network, is trained to operate on multi-labeled clinical text. Using multi-task learning, both the scope and the class losses are minimized. As a result, a machine learning model can predict both the scope and class of clinical text for a patient where the clinical text is not limited to one class or a particular length.


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