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:
Oct. 18, 2022

Filed:

Jul. 31, 2019
Applicant:

GE Precision Healthcare Llc, Milwaukee, WI (US);

Inventors:

Marc T. Edgar, Glenmont, NY (US);

Travis R. Frosch, Orlando, FL (US);

Gopal B. Avinash, San Ramon, CA (US);

Garry M. Whitley, Clinton, TN (US);

Assignee:

GE PRECISION HEALTHCARE LLC, Milwaukee, WI (US);

Attorney:
Primary Examiner:
Int. Cl.
CPC ...
G06N 20/00 (2019.01); G06N 5/04 (2006.01); G16H 50/20 (2018.01); G06F 40/169 (2020.01); G06K 9/62 (2022.01);
U.S. Cl.
CPC ...
G06N 20/00 (2019.01); G06F 40/169 (2020.01); G06K 9/6228 (2013.01); G06K 9/6257 (2013.01); G06K 9/6259 (2013.01); G06K 9/6264 (2013.01); G06N 5/04 (2013.01); G06N 5/048 (2013.01); G16H 50/20 (2018.01);
Abstract

Techniques are provided for enhancing the efficiency and accuracy of annotating data samples for supervised machine learning algorithms using an advanced annotation pipeline. According to an embodiment, a method can comprise collecting, by a system comprising a processor, unannotated data samples for input to a machine learning model and storing the unannotated data samples in an annotation queue. The method further comprises determining, by the system, annotation priority levels for respective unannotated data samples of the unannotated data samples, selecting, by the system from amongst different annotation techniques, one or more of the different annotation techniques for annotating the respective unannotated data samples based the annotation priority levels associated with the respective unannotated data samples.


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