Oncosifter: A Customized Approach to Cancer Information
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1 Oncosifter: A Customized Approach to Cancer Information Authors : Ketan Mane & Sidharth Thakur Presenter: Yueyu Fu Oncosifter Motivation Overview of Oncosifter Modules of Interaction Conclusion 1
2 Oncosifter Motivation Overview of Oncosifter Modules of Interaction Conclusion Oncosifter: Motivation Volumes of medical data is available on lab research, latest news, treatment & diagnosis. In information age data available in electronic format and accessible over internet. Various websites provide information only related to specific topics Eg: Oral Cancer, Breast Cancer Thus a need to make all topics available at one location. The Oral Cancer Foundation The Susan G. Komen Breast Cancer Foundation 2
3 Oncosifter: Motivation Websites have data available at different levels/ locations Medical Jargon Usage Need to: - Make data easily available - Standardize data access procedures - Focus on non-medical community Oncosifter Motivation Overview of Oncosifter Modules of Interaction Conclusion 3
4 Oncosifter: Overview Onco means Cancer Oncosifter is developed to filter cancer related news and medical information Limited medical jargon is used with focus on non-medical user groups Latest News and Diagnosis & treatment information is provided at same location Information access procedures are standardized Personalization of news through customization Oncosifter: Overview System Design: System implemented in Perl-CGI Information Sources: Medlineplus - latest cancer news Cancer.gov - diagnosis and treatment information Consistent interaction styles for data access Different modules of interfaces developed Keyword Based Search Interface Directory Interface Hierarchical Visualization Interface Personalization Search Interface 4
5 Oncosifter: Overview Different Modules of interaction in Oncosifter Oncosifter Motivation Overview of Oncosifter Modules of Interaction Conclusion 5
6 Oncosifter: Modules of Interaction Keyword Based Search Query submission is through a text-box Query - Controlled vocabulary match is performed to retrieve information In Oncosifter: Query keyword match performed to acquire URL-addendum Data is dynamically accessed Information filters applied to parse relevant data for display Keyword-Based Search Interface Oncosifter: Modules of Interaction Figure: Keyword based search interface and corresponding results page 6
7 Oncosifter: Modules of Interaction Directory Search Provides overview of the different types of cancer Categorization of cancers for simplified search Common terms used by non-medical community are used to identify cancers Multiple cancers in the same category name are concatenated in display Directory Search Interface Oncosifter: Modules of Interaction Figure: Directory search interface and corresponding results page 7
8 Oncosifter: Modules of Interaction Hierarchical Visualization Interface Graphical visualization reveal structure in data Cancer categories represent hierarchical tree data structure Hyperbolic tree used in to display cancer categories Category classification of cancer is easily available Minimum interaction needed to get information Hierarchical Visualization Interface: Body Locations/ Systems Oncosifter: Modules of Interaction Figure: Hierarchical search interface and corresponding results page 8
9 Oncosifter: Modules of Interaction Personalization Search Interface Feature to customize news retrieval topics Rating scale provided to set the users profile Highly rated cancer news are displayed at the top Users discretion to change the profile at any instance Article rating used to promote system learning and change users profile automatically Keyword-Based Search Interface Oncosifter: Modules of Interaction Figure: Personalization search interface and corresponding results page 9
10 Oncosifter Motivation Overview of Oncosifter Modules of Interaction Conclusion Oncosifter: Conclusion Oncosifter System: Latest news and diagnosis & treatment information is obtained Different user-friendly modules of interaction are available Only relevant information is displayed Multiple cancers of the same type are displayed together Consistency in layout Reduces cognitive load on user Similar interaction styles Ability to build personal profiles and customize it based on feedback 10
11 Oncosifter Acknowledgements We would like to thank Dr. Javed Mostafa for providing valuable insight during the design process Oncosifter: References 1. Furnas, G.W. Landauer, T.K, Gomez L.M and Susan Dumais, S.T. (1987), The vocabulary problem in human system communication. Commun. ACM, 30(11): Gaines, B. R. and Shaw, M.L.G, (1989), Comparing the conceptual system of experts, In Eleventh International Conference on Artificial Intelligence, Robertson, G. G., Card, S. K., Mackinlay, J. D., (1993). Information Visualization using 3D Interactive Animations, Commun. ACM, 36(4), Foltz, P. W., Dumais, S. T., (1992), Personalized Information Delivery: An Analysis of Information Filtering Methods, Commun. ACM, 35(12), Shneiderman, B. (1997). Human factors of interactive software. In Designing the User Interface: Strategies for Effective Human-Computer Interaction, Addison- Wesley, J. M. Mostafa, S. Mukhopadhyay, W. Lam and M. Palakal, (1997), A Multilevel Approach to Intelligent Information Filtering: Model, System and Evaluation, ACM Transaction of Information System, 15(4). 11
12 Oncosifter: References Thank You 12
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