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. 24, 2023

Filed:

Sep. 10, 2020
Applicant:

Siemens Healthcare Diagnostics Inc., Tarrytown, NY (US);

Inventors:

Oliver Frings, Erlangen, DE;

Eugen Kubala, Erlangen, DE;

Maximilian Würstle, Baiersdorf, DE;

Dominik Neumann, Erlangen, DE;

Assignee:
Attorney:
Primary Examiner:
Assistant Examiner:
Int. Cl.
CPC ...
G16H 50/80 (2018.01); G16H 70/60 (2018.01); G16H 40/20 (2018.01); G16H 10/40 (2018.01); G16H 10/60 (2018.01); G16H 50/70 (2018.01); G16H 70/40 (2018.01); G06N 20/00 (2019.01); G06N 7/01 (2023.01);
U.S. Cl.
CPC ...
G16H 50/80 (2018.01); G06N 7/01 (2023.01); G06N 20/00 (2019.01); G16H 10/40 (2018.01); G16H 10/60 (2018.01); G16H 40/20 (2018.01); G16H 50/70 (2018.01); G16H 70/40 (2018.01); G16H 70/60 (2018.01);
Abstract

A system is for infectious disease notification. The system includes at least one processor, configured to use a machine learning monitoring algorithm, trained on a large number of EMR datasets of patients, to calculate a probability for an infectious disease from a provided EMR dataset and compare the probability of the provided EMR dataset calculated with a known value. In training of the monitoring algorithm, the value represents whether there was an onset of an infectious disease or not and the monitoring algorithm is designed to adjust parameters of the monitoring algorithm. And in evaluating a notification, the value is a threshold value and the system is designed to output a notification upon the probability being greater than the threshold value.


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