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:
Aug. 02, 2022

Filed:

Nov. 27, 2019
Applicant:

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

Inventors:

Venkata Ratna Saripalli, San Ramon, CA (US);

Gopal Avinash, San Ramon, CA (US);

Min Zhang, San Ramon, CA (US);

Ravi Soni, San Ramon, CA (US);

Jiahui Guan, San Ramon, CA (US);

Dibyajyoti Pati, San Ramon, CA (US);

Zili Ma, San Ramon, CA (US);

Assignee:

GE Precision Healthcare LLC, Wauwatosa, WI (US);

Attorney:
Primary Examiner:
Assistant Examiner:
Int. Cl.
CPC ...
G06N 3/08 (2006.01); A61B 5/00 (2006.01); G16H 10/00 (2018.01); G16H 50/30 (2018.01); G16H 40/67 (2018.01); G16H 10/60 (2018.01); G16H 15/00 (2018.01); G06F 9/451 (2018.01); G06N 20/00 (2019.01); G06N 20/20 (2019.01); G06N 3/04 (2006.01);
U.S. Cl.
CPC ...
G16H 10/00 (2018.01); A61B 5/7267 (2013.01); G06F 9/451 (2018.02); G06N 3/0445 (2013.01); G06N 3/08 (2013.01); G06N 20/00 (2019.01); G06N 20/20 (2019.01); G16H 10/60 (2018.01); G16H 15/00 (2018.01); G16H 40/67 (2018.01); G16H 50/30 (2018.01); A61B 5/7275 (2013.01); G06T 2207/20081 (2013.01); G06T 2207/20084 (2013.01);
Abstract

Systems, apparatus, instructions, and methods for medical machine time-series event data processing are disclosed. An example time series event data processing apparatus includes memory storing instructions and one-dimensional time series healthcare-related data; and at least one processor. The example at least one processor is to: execute artificial intelligence model(s) trained on aggregated time series data to at least one of a) predict a future medical machine event, b) detect a medical machine event, or c) classify the medical machine event using the one-dimensional time series healthcare-related data; when the artificial intelligence model(s) are executed to predict the future medical machine event, output an alert related to the predicted future medical machine event to trigger a next action; and when the artificial intelligence model(s) are executed to detect and/or classify the medical machine event, label the medical machine event and output the labeled event to trigger the next action.


Find Patent Forward Citations

Loading…