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. 28, 2020

Filed:

Apr. 22, 2016
Applicant:

Reciprocal Labs Corporation, Madison, WI (US);

Inventors:

Guangquan Su, Alameda, CA (US);

Meredith Ann Barrett, Redwood City, CA (US);

Olivier Humblet, Palo Alto, CA (US);

Chris Hogg, San Francisco, CA (US);

John David Van Sickle, Oregon, WI (US);

Kelly Anne Henderson, San Francisco, CA (US);

Gregory F. Tracy, Madison, WI (US);

Assignee:

RECIPROCAL LABS CORPORATION, Madison, WI (US);

Attorney:
Primary Examiner:
Int. Cl.
CPC ...
G16H 50/20 (2018.01); G06F 19/00 (2018.01); G06N 20/00 (2019.01);
U.S. Cl.
CPC ...
G16H 50/20 (2018.01); G06F 19/3462 (2013.01); G06N 20/00 (2019.01); Y02A 90/24 (2018.01); Y02A 90/26 (2018.01);
Abstract

An application server predicts respiratory disease risk, rescue medication usage, exacerbation, and healthcare utilization using trained predictive models. The application server includes model modules and submodel modules, which communicate with a database server, data sources, and client devices. The submodel modules train submodels by determining submodel coefficients based on training data from the database server. The submodel modules further determine statistical analysis data and estimates for medication usage events, healthcare utilization, and other related events. The model modules combine submodels to predict respiratory disease risk, exacerbation, rescue medication usage, healthcare utilization, and other related information. Model outputs are provided to users, including patients, providers, healthcare companies, electronic health record systems, real estate companies and other interested parties.


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