Robert E Burr

US Patent:

20190355082, Nov 21, 2019

Filed:

Jul 26, 2019

Appl. No.:

16/523238

Inventors:

- Columbus OH, US
Jingyu Feng - Columbus OH, US
Kathryn Stamps - Suffolk VA, US
Robert E. Burr - Salt Lake City UT, US

International Classification:

G06Q 50/22
G16H 50/80
G06Q 10/04
G16H 15/00

Abstract:

Symptoms and methods for predicting the incidence of a disease or disorder are disclosed. A system for predicting the incidence of a disease or disorder includes a web-based symptom checker for producing a structured dataset, a data analysis component for producing a multivariate dataset from the structured dataset, and a feature construction component for producing a linear combination of orthogonal symbols representative of a disease or disorder. A method for predicting the incidence of a disease or disorder includes producing a multivariate dataset representing patient symptom counts, performing feature construction analysis on the multivariate dataset, creating a time series model using weekly illness incidence data, and applying the time series model to new illness incidence data to predict the incidence of a disease or disorder in the future.

US Patent:

20150371006, Dec 24, 2015

Filed:

Feb 14, 2014

Appl. No.:

14/767820

Inventors:

- Columbus OH, US
Jingyu Feng - Columbus OH, US
Kathryn Stamps - Suffolk VA, US
Robert E. Burr - Salt Lake City UT, US

International Classification:

G06F 19/00

Abstract:

Symptoms and methods for predicting the incidence of a disease or disorder are disclosed. A system for predicting the incidence of a disease or disorder includes a web-based symptom checker for producing a structured dataset, a data analysis component for producing a multivariate dataset from the structured dataset, and a feature construction component for producing a linear combination of orthogonal symbols representative of a disease or disorder. A method for predicting the incidence of a disease or disorder includes producing a multivariate dataset representing patient symptom counts, performing feature construction analysis on the multivariate dataset, creating a time series model using weekly illness incidence data, and applying the time series model to new illness incidence data to predict the incidence of a disease or disorder in the future.

US Patent:

20140236613, Aug 21, 2014

Filed:

Feb 14, 2014

Appl. No.:

14/180683

Inventors:

- Columbus OH, US
Jingyu Feng - Columbus OH, US
Kathryn Stamps - Suffolk VA, US
Robert E. Burr - Salt Lake City UT, US

Assignee:

Battelle Memorial Institute - Columbus OH

International Classification:

G06F 19/00

US Classification:

705 2

Abstract:

Symptoms and methods for predicting the incidence of a disease or disorder are disclosed. A system for predicting the incidence of a disease or disorder includes a web-based symptom checker for producing a structured dataset, a data analysis component for producing a multivariate dataset from the structured dataset, and a feature construction component for producing a linear combination of orthogonal symbols representative of a disease or disorder. A method for predicting the incidence of a disease or disorder includes producing a multivariate dataset representing patient symptom counts, performing feature construction analysis on the multivariate dataset, creating a time series model using weekly illness incidence data, and applying the time series model to new illness incidence data to predict the incidence of a disease or disorder in the future.