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. 20, 2022

Filed:

Nov. 15, 2013
Applicants:

Ali Kamen, Skillman, NJ (US);

Maneesh Kumar Singh, Lawrenceville, NJ (US);

Sebastian Poelsterl, Munich, DE;

Lance Anthony Ladic, Robbinsville, NJ (US);

Dorin Comaniciu, Princeton Junction, NJ (US);

Inventors:

Ali Kamen, Skillman, NJ (US);

Maneesh Kumar Singh, Lawrenceville, NJ (US);

Sebastian Poelsterl, Munich, DE;

Lance Anthony Ladic, Robbinsville, NJ (US);

Dorin Comaniciu, Princeton Junction, NJ (US);

Assignee:

Siemens Healthcare GmbH, Erlangen, DE;

Attorney:
Primary Examiner:
Int. Cl.
CPC ...
G06N 3/04 (2006.01); G06N 3/08 (2006.01); G16H 50/20 (2018.01); G16Z 99/00 (2019.01);
U.S. Cl.
CPC ...
G16H 50/20 (2018.01); G06N 3/0472 (2013.01); G06N 3/08 (2013.01); G16Z 99/00 (2019.02);
Abstract

A method of identifying an optimum treatment for a patient suffering from coronary artery disease, comprising: (i) providing patient information selected from: (a) status in the patient of one or more coronary disease associated biomarkers; (b) one or more items of medical history information selected from prior condition history, intervention history and medication history; (c) one or more items of diagnostic history, if the patient has a diagnostic history; and (d) one or more items of demographic data; (ii) aggregating the patient information in: (a) a Bayesian network; (b) a machine learning and neural network; (c) a rule-based system; and (d) a regression-based system; (iii) deriving a predicted probabilistic adverse event outcome for each intervention comprising percutaneous coronary intervention by placement of a bare metal stent, or a drug-coated stent; or by coronary artery bypass grafting; and (iv) determining the intervention having the lowest predicted probabilistic adverse outcome.


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