Pre-Grant Publication Number: 20070226167
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Prior Art Detail
Summary / Description
| Summary / Description | A web-based application, namely the CAT Crawler, was developed by Singapore's Bioinformatics Institute to allow physicians to adequately access available appraised topics on the Internet. |
Basic Information
| Type of Prior Art | Online Publication |
| URL | http://www.pubmedcentral.nih.go... |
| Author/Creator | Peng Dong, Ling Ling Wong, Sarah Ng, Marie Loh, and Adrian Mondry |
| Title | Quantitative evaluation of recall and precision of CAT Crawler, a search engine specialized on retri |
| Publication Date | December 10, 2004 |
| Publisher | PubMed Central |
| Directions to Document Location | directly from url provided or by searching the title in the Medline database at http://www.ncbi.nlm.nih.gov/pubmed/ |
| Additional Information | |
Notes / To Do
| Notes | The idea of using a web (or other large information source) crawler to collect evidence is widespread. This submission is a Medline listing for such an application. |
Excerpt
Excerpt A web-based application, namely the CAT Crawler, was developed by Singapore's
Bioinformatics Institute to allow physicians to adequately access available appraised topics on the Internet. A meta-search engine, as the core component of the application, finds relevant topics following keyword input. The primary objective of the work presented here is to evaluate the quantity and quality of search results obtained from the meta-search engine of the CAT Crawler
by comparing them with those obtained from two individual CAT search engines. From the CAT libraries at these two sites, all possible keywords were extracted using a keyword extractor. Of those common to both libraries, ten were randomly chosen for evaluation. All ten were submitted to the two search engines individually, and through the meta-search engine of the CAT Crawler.
Search results were evaluated for relevance both by medical amateurs and professionals, and the respective recall and precision were calculated. |
Relevance
Claims
1
A system for clinical decision support, the system including:
a crawler agent component,
wherein the crawler agent component is adapted to receive a search parameter, wherein the search parameter specifies a criteria for evidence data to be searched for, and
wherein the crawler agent component is adapted to initiate a search of a plurality of evidence sources based at least in part on the search parameter, wherein the search identifies the evidence data, wherein the evidence data is utilized by the clinical decision support system to provide decision support to a healthcare provider for a patient.
Relevance
The publication discusses a web crawler used to collect evidence
The publication discusses a web crawler used to collect evidence
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