I'm finding myself increasingly drawn to computer/statistical techniques for helping in the Q&A service. Many papers, such as highlighted below, look at answering the question; my main interested - currently - is in using sematic analysis in updating clinical questions.
Situated Question Answering in the Clinical Domain: Selecting the Best Drug Treatment for Diseases
Abstract: Unlike open-domain factoid questions, clinical information needs arise within the rich context of patient treatment. This environment establishes a number of constraints on the design of systems aimed at physicians in real-world settings. In this paper, we describe a clinical question answering system that focuses on a class of commonly-occurring questions: “What is the best drug treatment for X?”, here X can be any disease. To evaluate our system, we built a test collection consisting of thirty randomly-selected diseases from an existing secondary source. Both an automatic and a manual evaluation demonstrate that our system compares favorably to PubMed, the search system most commonly-used by physicians today.
Gnip Launches Push API To Create Real-Time Stream Of Business Data
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The Web is speeding up and Gnip wants to help push it along. Today, the API
aggregation platform is releasing its own Push API which lets any site patch
t...
1 hour ago
1 comments:
The article"Liberating the literature" is very interesting and nice. I like this.
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julie
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