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:
Jul. 04, 2023

Filed:

May. 09, 2018
Applicant:

International Business Machines Corporation, Armonk, NY (US);

Inventors:

Maria Eleftherou, Mount Kisco, NY (US);

Chung-Sheng Li, Scarsdale, NY (US);

Shahram Ebadollahi, White Plains, NY (US);

Francisco Curbera, Hastings On Hudson, NY (US);

Attorney:
Primary Examiner:
Int. Cl.
CPC ...
G16H 50/20 (2018.01); G16H 50/50 (2018.01); G16H 10/60 (2018.01); G06N 20/00 (2019.01); G16H 70/20 (2018.01); G16H 10/40 (2018.01); G16H 80/00 (2018.01); G16H 50/30 (2018.01);
U.S. Cl.
CPC ...
G16H 50/20 (2018.01); G06N 20/00 (2019.01); G16H 10/60 (2018.01); G16H 50/50 (2018.01); G16H 10/40 (2018.01); G16H 50/30 (2018.01); G16H 70/20 (2018.01); G16H 80/00 (2018.01);
Abstract

Performing an operation comprising generating, by a computing system based on data received from a plurality of data sources, a data model describing a patient, wherein the data comprises medical history data of the patient and observation data received by the computing system during observation of at least one medical professional, generating, by the computing system and based on the model applied to the received data, a plurality of candidate diagnoses for the patient, executing, by the computing system, a plurality of simulations of a plurality of candidate treatments generated by the computing system based on the model, and identifying a first candidate treatment of the plurality of candidate treatments that reduces an uncertainty value of the data model below a threshold.


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