biostorm.stanford.edu

Welcome to BioSTORM[BioSTORM]

The goals of this project are to develop fundamental knowledge about the performance of aberrancy detection algorithms used in public health surveillance and to develop methodologies and tools that will use this knowledge to automatically select and apply surveillance algorithms. We have developed a software system called BioSTORM. Last modified: 2009/01/12 10:30. Except where otherwise noted, content on this wiki is licensed under the following license:.

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Welcome to BioSTORM[BioSTORM] | biostorm.stanford.edu Reviews

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The goals of this project are to develop fundamental knowledge about the performance of aberrancy detection algorithms used in public health surveillance and to develop methodologies and tools that will use this knowledge to automatically select and apply surveillance algorithms. We have developed a software system called BioSTORM. Last modified: 2009/01/12 10:30. Except where otherwise noted, content on this wiki is licensed under the following license:.

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Welcome to BioSTORM[BioSTORM] | biostorm.stanford.edu Reviews

https://biostorm.stanford.edu

The goals of this project are to develop fundamental knowledge about the performance of aberrancy detection algorithms used in public health surveillance and to develop methodologies and tools that will use this knowledge to automatically select and apply surveillance algorithms. We have developed a software system called BioSTORM. Last modified: 2009/01/12 10:30. Except where otherwise noted, content on this wiki is licensed under the following license:.

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biostorm.stanford.edu

1

Software[BioSTORM]

http://biostorm.stanford.edu/results:software

In the following we present software tools that were created as part of the project. You can click on each image for more detailed explanation! Click on the image for explanation. Below is a screenshot of a running BioSTORM system:. To facilitate configuration and deployment of BioSTORM system, we have developed and adapted several Protege plug-ins as part of our tool set. Following are the screenshots of these software components. Last modified: 2009/03/03 20:05.

2

Welcome to BioSTORM[BioSTORM]

http://biostorm.stanford.edu/home

The goals of this project are to develop fundamental knowledge about the performance of aberrancy detection algorithms used in public health surveillance and to develop methodologies and tools that will use this knowledge to automatically select and apply surveillance algorithms. We have developed a software system called BioSTORM. Last modified: 2009/01/12 10:30. Except where otherwise noted, content on this wiki is licensed under the following license:.

3

Project Management[BioSTORM]

http://biostorm.stanford.edu/project_management

To visit our GForge server used for internal project management please go to https:/ bmir-gforge.stanford.edu/gf/project/biostorm. The SVN repository for the BioSTORM source codes: https:/ bmir-gforge.stanford.edu/gf/project/biostorm/scmsvn. Project related documents: https:/ bmir-gforge.stanford.edu/gf/project/biostorm/docman. Last modified: 2008/06/06 15:08. Except where otherwise noted, content on this wiki is licensed under the following license:.

4

People[BioSTORM]

http://biostorm.stanford.edu/people

Prof Mark A. Musen. Prof David L. Buckeridge. Received his degree in Computer Science from the Technical University of Cluj-Napoca, Romania. Before joining Stanford Center for Biomedical Informatics Research, he worked for several years at DaimlerChrysler Research in Berlin, Germany where he worked on the development of several ontology-driven tools. Since coming to Stanford, he has implemented the primary components of the BioSTORM system using the JADE agent environment. Last modified: 2008/11/26 08:51.

5

Experiments[BioSTORM]

http://biostorm.stanford.edu/results:experiments

To validate our work, we replicated and extended a previously published evaluation study of aberration detection methods. This entailed a) representing the algorithms and the evaluation process in our model; b) configuring, deploying and running the evaluation study in the BioSTORM software; and c) comparing our results to those reported by the authors of the original study. Within our modeling approach. The next figure presents the ROC curves obtained in an extended analysis using 11 threshold values fo...

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Welcome to BioSTORM[BioSTORM]

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