I have to use Pubmed several times every day and in most cases I have to switch to Google Scholar as I think that is really user-friendly and I can customize my search queries more easily. Although, I would love to do the same with Pubmed. Well, the Semantic MEDLINE Prototype which is a research and development project of the Cognitive Science Branch, Lister Hill National Center for Biomedical Communications, U.S. National Library of Medicine might solve my problems in the near future:
Semantic MEDLINE is a prototype Web application that summarizes MEDLINE citations returned by a PubMed search. Natural language processing is used to analyze salient content in titles and abstracts. This information is then presented in a graph that has links to the MEDLINE text processed.
Currently, the results from 35 PubMed searches (including a variety of disorders and drugs) are available to be processed. The 500 most recent citations (from the date of the search) are available for further processing by Semantic MEDLINE.
I just did a search for “Breast Cancer (clinicaltrials.gov), top 500 recruiting studies”:
Scienceroll.com readers know well I’m an admirer of WolframAlpha:
I use WolframAlpha because sometimes (if I know exactly what I want to find) it saves me plenty of time and clicks. If I want to calculate BMI, Google lists me several calculators. WolframAlpha calculates it itself. If I want to find information very fast about a clinical marker, Google gives me resources, WA gives me the best answer in one click. I also use it for ICD classification, as it’s more easily accessible than Wikipedia; for epidemiological data and other calculations.
To sum it up, I think WolframAlpha is for those who perfectly know what they want to find and want to save time and clicks. For other search queries, Google is still the best.
Now the Wolfram Alpha Team released a guide about how this unique search engine can be used for analyzing medical test-related data.
You can fine-tune the results even more by adding additional personal attributes. For example, entering “cholesterol tests age 65” filters the general population distribution to return only values from individuals 60–70 years old.
By adding more filters such as smoking status, diabetic status, pregnancy status, and other individual characteristics, you can find out more about how your test results compare to other populations covered by NHANES.
Joanna Scott informed us about a great event organized by Nature. I wanted to attend last year’s and this year’s Science Online London conference (22, August), but I will have state exam two days after that so next year is the next target for me. But, through Second Life, you can attend it virtually.
Science Online London is a one-day conference held at the Royal Institution on London covering all aspects of online science. The conference is co-hosted by Nature Network, Mendeley and the RI.
BUT if you haven’t signed up or can’t travel, fear not – for the first time, it will also be live video streamed in Second Life!
Attendance will cost the princely sum of 10 GBP/15 USD to cover costs and will give virtual attendees access to the island for the whole day as well as an opportunity to ask the speakers questions – we will have a member of staff in the audience to get your questions to the speaker just like the RL attendees.
Just a short note about HealthMash, the health knowledge base, that is being developed by my friends at Polymeta.com and that was showcased at the MLA (Medical Library Association Annual Meeting and Exhibition) in Honolulu.
HealthMash™ combines sophisticated Web 2.0 universal search and discovery technology with Semantic Web Concepts in a simple yet highly informative user interface.
Here is an exclusive screenshot as this is the first time you can see the service from inside.
Attila Csordás, author of PIMM, published a screenshot on TwitPic about the new search engine, WolframAlpha:
It means the search engine understands what you want to find and gives you one specific answer, and not a list of possible answers. Huge difference, but that is what semantic search should be about.
OutWit Hub, currently in beta, might be a step towards a semantic browser. You can find more information here and the Firefox Add-on page here.
The applications are countless from extracting photos of human anatomy in a snap, to building a database of medical contacts. If you need a list of hospitals with their specialties, you can use OutWit to grab this information automatically from Wikipedia and easily produce an Excel table out of it.
Here is a tutorial: