Purdue Research Foundation

William Cleveland

David Scott Ebert

Ross Maciejewski

Yun Jang

Ryan P Hafen

Stephen Rudolph

Benjamin N Tyner

Sandra Amass

A method for forecasting hotspots is provided. The method may include the steps of receiving input data at an input of the computational device, generating a temporal prediction based on the input data, generating a geospatial prediction based on the input data, and generating output data based on the time series and geospatial predictions. The output data may be configured to display at least one user interface at an output of the computational device.

Forecasting hotspots using predictive visual analytics approach

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.

Animal symptom visual analytics

Growing community of inventors

Lafayette, IN, United States of America

William Cleveland