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:
Nov. 11, 2014

Filed:

Jul. 26, 2011
Applicants:

David S. Ebert, West Lafayette, IN (US);

Ross Larry Maciejewski, Phoenix, AZ (US);

Benjamin N. Tyner, Charlotte, NC (US);

Yun Jang, West Lafayette, IN (US);

William Cleveland, Lafayette, IN (US);

Sandra Amass, Lafayette, IN (US);

Inventors:

David S. Ebert, West Lafayette, IN (US);

Ross Larry Maciejewski, Phoenix, AZ (US);

Benjamin N. Tyner, Charlotte, NC (US);

Yun Jang, West Lafayette, IN (US);

William Cleveland, Lafayette, IN (US);

Sandra Amass, Lafayette, IN (US);

Assignee:

Purdue Research Foundation, West Lafayette, IN (US);

Attorney:
Primary Examiner:
Assistant Examiner:
Int. Cl.
CPC ...
A61B 5/00 (2006.01); G06F 7/60 (2006.01); G06F 17/10 (2006.01); G06F 19/24 (2011.01); G06F 19/00 (2011.01); G06F 19/26 (2011.01);
U.S. Cl.
CPC ...
G06F 19/3493 (2013.01); G06F 19/24 (2013.01); G06F 19/26 (2013.01); G06F 19/3487 (2013.01);
Abstract

A system and method for visually displaying and analyzing public health data for geospatial and/or time variations, including the collection of symptom data coupled with geographic and time data, filtering the symptom data based upon a selected time period and geographic range, and creating a visual result based upon statistical modeling including power transform and/or data normalization. According to at least one embodiment, the system for visually displaying and analyzing includes selecting and performing at least one aberration detection method such as applying CUSUM analysis, quantile measures, and/or bootstrapping analysis, and displaying the result to a user via a visual analytics arrangement.


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