Invention Grant
- Patent Title: Use of web-based symptom checker data to predict incidence of a disease or disorder
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Application No.: US14180683Application Date: 2014-02-14
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Publication No.: US10332637B2Publication Date: 2019-06-25
- Inventor: Nancy McMillan , Jingyu Feng , Kathryn Stamps , Robert E. Burr
- Applicant: Battelle Memorial Institute
- Applicant Address: US OH Columbus
- Assignee: BATTELLE MEMORIAL INSTITUTE
- Current Assignee: BATTELLE MEMORIAL INSTITUTE
- Current Assignee Address: US OH Columbus
- Agency: Fay Sharpe LLP
- Main IPC: G16H50/80
- IPC: G16H50/80

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.
Public/Granted literature
- US20140236613A1 USE OF WEB-BASED SYMPTOM CHECKER DATA TO PREDICT INCIDENCE OF A DISEASE OR DISORDER Public/Granted day:2014-08-21
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