FindZebra is a specialised search engine supporting medical professionals in diagnosing difficult patient cases. Rare diseases are especially difficult to diagnose and this online medical search engines comes in support of medical personnel looking for diagnostic hypotheses. With a simple and consistent interface across all devices, it can be easily used as an aid tool at the time and place where medical decisions are made. The retrieved information is collected from reputable sources across the internet storing public medical articles on rare and genetic diseases.
The name of FindZebra
The term “zebra” is a medical slang for a surprising diagnosis. Physicians are taught since medical school to concentrate on the more common diseases: “when you hear a gallop, you should think about a horse, not a zebra”.
“I look for zebras because other doctors have ruled out all the horses.” — Dr. Gregory House
Indexed medical sources
We index over 31,000 medical articles focused on rare and genetic diseases from reputable sources on the internet. The articles are collected from the following sources:
· Orphanet: an online rare disease and orphan drug data base. Copyright, INSERM 1997. Available on http://www.orpha.net
· Wikipedia: The free encyclopedia. Wikimedia Foundation, Inc., Category Rare Diseases. Available on en.wikipedia.org/wiki/Category:Rare_diseases
· NORD Rare Disease Database and Organizational Database. The National Organization for Rare Disorders (NORD). Available on rarediseases.org/
· The Genetic and Rare Diseases Information Center (GARD). Available on rarediseases.info.nih.gov/GARD
· Swedish Information Centre for Rare Diseases. Swedish National Board of Health and Welfare. Available on http://www.socialstyrelsen.se/rarediseases
· m-Power Rare Disease Database. Madisons Foundation. Available on http://www.madisonsfoundation.org/
· Health On the Net Foundation. Available on http://www.hon.ch/HONselect/RareDiseases/
· Rare Diseases. About.com Health. Available on rarediseases.about.com/
· Genetics Home Reference: A service of the U.S. National Library of Medicine. Available on: ghr.nlm.nih.gov/BrowseConditions
· Wikipedia: The free encyclopedia. Wikimedia Foundation, Inc., Category Syndromes. Available on en.wikipedia.org/wiki/Category:Syndromes
· Online Mendelian Inheritance in Man, OMIM. McKusick-Nathans Institute of Genetic Medicine, Johns Hopkins University (Baltimore, MD) and National Center for Biotechnology Information, National Library of Medicine (Bethesda, MD). Available on http://www.ncbi.nlm.nih.gov/omim/
· Wikipedia: The free encyclopedia. Wikimedia Foundation, Inc., Selected pages on rare diseases. Available on en.wikipedia.org/
Target end-users
FindZebra should only be used by medical professionals. Although the articles indexed by the system have been written by medical professionals or reviewed by medical associations, it is strongly recommended that, as a patient, you consult you local health care provider. FindZebra does not replace professional health care, and cannot be held responsible for erroneous use of the information provided through the system.
Logging of user information
We only log the query text, its results, and an IP address. We do not store any other information that can lead to the identification of the person running the query request. We reserve the right to use the logged information for statistical analysis in published articles and as input for further improvements of the system.
Citing the work
When referencing the search engine, you can also cite one of our publications:
· Radu Dragusin, Paula Petcu, Christina Lioma, Birger Larsen, Henrik L Jørgensen, Ingemar Cox, Lars K Hansen, Peter Ingwersen, and Ole Winther, FindZebra: a Search Engine for Rare Diseases, in International Journal of Medical Informatics, IJMI (2013)
· Radu Dragusin, Paula Petcu, Christina Lioma, and Ole Winther, Zebra: Searching for Rare Diseases A Case of Task-Based Search in the Medical Domain, in Proceedings of the ECIR 2012 Workshop on Task-Based and Aggregated Search (2012)
· Radu Dragusin, Paula Petcu, Christina Lioma, Birger Larsen, Henrik Jørgensen, and Ole Winther, Rare Disease Diagnosis as an Information Retrieval Task, in Proceedings of 3rd International Conference on the Theory of Information Retrieval 2011, Lecture Notes in Computer Science, Springer (2011)
Check also our university project website for a brief overview of the theory behind the search engine.
Getting in contact
If you want to know more about this project, or have some bright ideas you would like to share, see the contact information.
Using FindZebra on my mobile devices
If you are using an iOS mobile device, open the mobile Safari browser and navigate to our homepage. The FindZebra icon can be added to the home screen on all iOS devices by using the share button from inside the Safari browser.
If you are using an Android-based mobile device, in the default Android web browser bookmark our site and then create a shortcut on the home screen by selecting the bookmark shortcut to FindZebra (“Add to home screen”->”Shortcuts”->”Bookmark”->”FindZebra”).
In the future, you might be able to download the FindZebra mobile app from your app store, so stay tuned for updates by following us on the social media channels.
Advanced search functionalities
Well, for most of your searches you might be satisfied with the default search setting. This means that the search is performed on ALL articles indexed by the system (about both rare and genetic diseases).
However, in some cases, you might want to exclude genetic diseases from your search and thus focus specifically on the rare diseases. You do this by selecting the “restrict to rare disease resources” option from the advanced search settings dialog box.
Another option would be to search on the index that includes UMLS metadata (“search with UMLS medical concepts”). The same articles as for the default setting are used for search, but these now also include UMLS concepts associated to the title of each article. A good usage scenario for this option is concept searching.
We also provide two experimental search options that use the UMLS metadata for clustering the results. The benefits of using these two are the streamlining of the search process and the possibility of a more diverse set of results.
Promoting FindZebra’s logo on your site
Please contact us before doing that, but in general that should not be a problem!
Current status of this project
Get in touch with us and follow our social media accounts if you want to find out more. We would love to hear your opinion and your ideas! We also have a lot of ideas ourselves and we try to gradually integrate them in the current system.
Source: http://findzebra.compute.dtu.dk
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