FindZebra: A search engine for rare diseases
نویسندگان
چکیده
منابع مشابه
FindZebra: A search engine for rare diseases
BACKGROUND The web has become a primary information resource about illnesses and treatments for both medical and non-medical users. Standard web search is by far the most common interface to this information. It is therefore of interest to find out how well web search engines work for diagnostic queries and what factors contribute to successes and failures. Among diseases, rare (or orphan) dise...
متن کاملFindZebra - the search engine for difficult medical cases
Physicians as well as laypeople use both general purpose and specialised web-based search tools when confronted with medical questions. FindZebra.com is a tool for generating hypotheses about rare disease diagnosis. It uses freely available high quality curated information on rare diseases and open source information retrieval software (Apache Lucene Solr) tailored to the problem. FindZebra is ...
متن کاملSpecialized tools are needed when searching the web for rare disease diagnoses
In our recent paper, we study web search as an aid in the process of diagnosing rare diseases. To answer the question of how well Google Search and PubMed perform, we created an evaluation framework with 56 diagnostic cases and made our own specialized search engine, FindZebra (findzebra.com). FindZebra uses a set of publicly available curated sources on rare diseases and an open-source informa...
متن کاملA Search Engine for Images
A search engine was designed and implemented to allow campus faculty and staff to access the Campus Collection of the University Of Maine Museum Of Art. The Campus Collection refers to the subset of the Museum art collection that is available for display on the University of Maine Campus. University faculty and staff can request items from the Campus Collection. With the search engine, users ca...
متن کاملA search engine for Arabic documents A search engine for Arabic documents
This paper is an attempt for indexing and searching degraded document images without recognizing the textual patterns and so to circumvent the cost and the laborious effort of OCR technology. The proposed approach deal with textual-dominant documents either handwritten or printed. From preprocessing and segmentation stages, all the connected components (CC) of the text are extracted applying a ...
متن کاملذخیره در منابع من
با ذخیره ی این منبع در منابع من، دسترسی به آن را برای استفاده های بعدی آسان تر کنید
ژورنال
عنوان ژورنال: International Journal of Medical Informatics
سال: 2013
ISSN: 1386-5056
DOI: 10.1016/j.ijmedinf.2013.01.005