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:
Mar. 05, 2019

Filed:

Sep. 23, 2014
Applicant:

Quire, Inc. (Delaware Corporation), Memphis, TN (US);

Inventors:

Kevin Erich Heinrich, Collerville, TN (US);

Ramin Homayouni, Memphis, TN (US);

Bradford Ryan Silver, Memphis, TN (US);

Assignee:

Other;

Attorney:
Primary Examiner:
Int. Cl.
CPC ...
G06F 17/30 (2006.01); G16H 50/70 (2018.01);
U.S. Cl.
CPC ...
G16H 50/70 (2018.01); G06F 17/30663 (2013.01); G06F 17/30684 (2013.01);
Abstract

A predictive modeling method implemented on a computer for predicting patient outcomes and conditions from medical database records of a population of patients, and an optimization process of iterative variation of parameters of the method to achieve a best precision fit. Individual patient documents are created by concatenation of unstructured text fields from the patient's medical record, and these are processed using Natural Language Processing. A patient document corpus is built, and terms in the corpus are weighted and mapped to standard vocabularies. A term-by-document matrix is built and its dimensionality is reduced by Latent Semantic Indexing. Patient and term queries are combined and scored, producing a ranked list. The parameters of the model are iteratively optimized for an input list of patients with corresponding health score values.


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