Chris C Hogg

US Patent:

20160314256, Oct 27, 2016

Filed:

Apr 22, 2016

Appl. No.:

15/136667

Inventors:

- Madison WI, 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

International Classification:

G06F 19/00
G06N 99/00

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.