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:
Apr. 12, 2022

Filed:

Sep. 16, 2017
Applicants:

Piali DE, Harvard, MA (US);

Hugh A. Stoddart, Harvard, MA (US);

Inventors:

Piali De, Harvard, MA (US);

Hugh A. Stoddart, Harvard, MA (US);

Assignee:

SENSCIO SYSTEMS, Harvard, MA (US);

Attorneys:
Primary Examiner:
Int. Cl.
CPC ...
G06N 5/02 (2006.01); G06N 5/04 (2006.01); G06Q 20/10 (2012.01); G06Q 20/00 (2012.01); G16H 50/20 (2018.01);
U.S. Cl.
CPC ...
G06N 5/022 (2013.01); G06N 5/04 (2013.01); G06Q 20/00 (2013.01); G06Q 20/10 (2013.01); G16H 50/20 (2018.01);
Abstract

A personal illness management system includes an extended semantic model of a health care knowledge domain, a semantic knowledge database for personal illness management, and an inference engine. The extended semantic model of a health care knowledge domain includes existing concepts related to personal illness management, existing relationships among the existing concepts, and inference logic embedded within each existing concept. The semantic knowledge database for personal illness management is distinct from the extended semantic model and includes existing nodes and existing links. The existing nodes represent instances of the existing concepts, and the existing links represent instances of the existing relationships among the existing concepts. The inference engine is knowledge domain independent and populates the semantic knowledge database with the instances of the existing concepts and the instances of the existing relationships by following the inference logic embedded within each existing concept.


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