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|Subject=Discuss:National Library of Medicine working on search engine that will use natural language processing
|Date=10 Feb 2012 22:17:04 GMT
}}
}}
<code>http://t.co/ZejfUAeR |<br />
<br />
The National Library of Medicine <http://www.nlm.nih.gov/> is working on a<br />
search engine that will scan thousands of medical records to turn up<br />
documents related to patient queries. That sounds exactly like what Google<br />
and Bing can already do, but it���s different.<br />
<br />
It will employ Watson-like search and retrieval techniques to return a very<br />
specific set of one to three documents.<br />
Watson<http://www-03.ibm.com/innovation/us/watson/index.html>,<br />
IMB���s robot with artificial intelligence capabilities,<br />
smashed*Jeopardy!* records<br />
when it appeared on the gameshow last year. One trait that makes Watson<br />
intelligent is that the computer can understand natural language as opposed<br />
to a Google query (i.e. ���cure common cold��� instead of ���what���s the cure for<br />
the common cold?���), something that researchers at the National Library of<br />
Medicine (NLM) want to try to replicate with their own machine.<br />
<br />
Another characteristic of intelligent computers is that they learn. This<br />
occurs over time and through repetition.<br />
<br />
���In order to train the machine we had to have a large set of questions in<br />
the vernacular, not cleaned up to grammar, and we had to have a lot of<br />
associated, or reasonably associated, answers,��� Dr. Milton Corn, deputy<br />
director for research and education at NLM, said.<br />
<br />
Having a database of answers ��� not just questions ��� is key because when the<br />
computer turns up a wrong answer, researchers need to show the computer<br />
what the right answer looks like. Corn said NLM gets millions of queries<br />
from patients every year, but they���re answered through results generated by<br />
NLM���s databases PubMed <http://www.ncbi.nlm.nih.gov/pubmed/> and<br />
MedlinePlus<http://www.nlm.nih.gov/medlineplus/>,<br />
as opposed to health care professionals.<br />
<br />
In his search for a set of published medical questions and answers, Corn<br />
came across Ask the Doctor <http://www.askthedoctor.com/>, a Canadian<br />
website where doctors answer individual patient questions. Ask the Doctor<br />
agreed to share a set of about 8,000 medical questions and their answers<br />
with NLM for its artificial intelligence project.<br />
<br />
Right now the computer is in Rocky Balboa mode.<br />
<br />
Researchers are training it by feeding it questions, then feeding it<br />
answers and testing it. Then they repeat the process. The major hurdle for<br />
the computer is getting to a point where it can understand natural language.<br />
<br />
And if the machine ever becomes ready for public use, patients, too, will<br />
have to be trained to approach the Q&A process differently. Patients will<br />
need to phrase their questions like they���re talking to their doctor, not<br />
Google. This will lay the groundwork for the possible incorporation of<br />
voice technology later on.<br />
<br />
Is NLM also laying the groundwork for computer replacement of physicians?<br />
Not quite.<br />
<br />
���We are not contemplating ��� unless this were an unbelievably fantastic<br />
success ��� letting a machine practice medicine,��� Corn said.<br />
<br />
If this early stage does prove to be successful, the project might expand<br />
with a partnership with IBM, which has expressed an interest in working<br />
with NLM.<br />
<br />
���We would like to see whether Watson could be adapted to health questions,���<br />
Corn said.<br />
<br />
But first, Watson will be in for some medical education.<br />
<br />
���It doesn���t know much about health at the moment,��� Corn said.<br />
</code>

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