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:
Sep. 12, 2023

Filed:

May. 31, 2022
Applicants:

Tempus Labs, Inc., Chicago, IL (US);

Geisinger Clinic, Danville, PA (US);

Inventors:

Alvaro E. Ulloa-Cerna, Danville, PA (US);

Noah Zimmerman, Chicago, IL (US);

Greg Lee, Chicago, IL (US);

Christopher M. Haggerty, Danville, PA (US);

Brandon K. Fornwalt, Danville, PA (US);

Ruijun Chen, Danville, PA (US);

John Pfeifer, Danville, PA (US);

Christopher Good, Danville, PA (US);

Assignees:

Tempus Labs, Inc., Chicago, IL (US);

Geisinger Clinic, Danville, PA (US);

Attorney:
Primary Examiner:
Int. Cl.
CPC ...
G16H 50/30 (2018.01); G16H 50/20 (2018.01); A61B 5/318 (2021.01); A61B 5/00 (2006.01); A61B 5/28 (2021.01); G06F 18/214 (2023.01);
U.S. Cl.
CPC ...
G16H 50/30 (2018.01); A61B 5/0006 (2013.01); A61B 5/28 (2021.01); A61B 5/318 (2021.01); A61B 5/7275 (2013.01); G16H 50/20 (2018.01); G06F 18/2155 (2023.01);
Abstract

A method for determining cardiology disease risk from electrocardiogram trace data and clinical data includes receiving electrocardiogram trace data associated with a patient, receiving the patient's clinical data, providing both sets of data to a trained machine learning composite model that is trained to evaluate the data with respect to each disease of a set of cardiology diseases including three or more of cardiac amyloidosis, aortic stenosis, aortic regurgitation, mitral stenosis, mitral regurgitation, tricuspid regurgitation, abnormal reduced ejection fraction, or abnormal interventricular septal thickness, generating, by the model and based on the evaluation, a composite risk score reflecting a likelihood of the patient being diagnosed with one or more of the cardiology diseases within a predetermined period of time from when the electrocardiogram trace data was generated, and outputting the composite risk score to at least one of a memory or a display.


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