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:
Jun. 25, 2024

Filed:

Jul. 10, 2020
Applicant:

Siemens Aktiengesellschaft, Munich, DE;

Inventors:

Zhiliang Wu, Bayern, DE;

Volker Tresp, Munich, DE;

Assignee:
Attorney:
Primary Examiner:
Assistant Examiner:
Int. Cl.
CPC ...
G16H 50/20 (2018.01); G06N 20/00 (2019.01); G16H 10/60 (2018.01); G16H 50/30 (2018.01); G16H 50/50 (2018.01); G16H 50/70 (2018.01);
U.S. Cl.
CPC ...
G16H 50/20 (2018.01); G06N 20/00 (2019.01); G16H 10/60 (2018.01); G16H 50/30 (2018.01); G16H 50/50 (2018.01); G16H 50/70 (2018.01);
Abstract

The invention relates to a computer-implemented method for providing a trained function () to determine a treatment. To allow a provision of improved treatment recommendations the method comprises the following steps: receiving (S) a plurality of training data sets () each relating to a former patient and each comprising treatment data (), which represents a former treatment chosen by a physician for the respective former patient, and patient data (), which relates to a respective health condition of the respective former patient; determining (S) a propensity score (), which represents a relative frequency for a former treatment of the plurality to be chosen for each health conditions; determining (S) an outcome score (), which is a measure of how the health data () and/or the health condition of the respective patient changed; and determining (S) a treatment recommendation score () based on the propensity score () and the outcome score (); and providing (S) the trained function ().


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