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:
WikiProfessional was officially launched some weeks ago. So I think it’s time to say a few words about it. WikiProfessional is a new kind of a database. It searches in several sources and helps us how to get the most valuable information.
Redundancy of the same facts and opinions within a myriad of web-pages has artificially inflated the size of the Internet. To get a million search results on a query without the ability to separate redundancy of the same information from the incremental knowledge expansions on that query concept is highly inefficient. Within the Concept Web, information is converted to streamlined knowledge where redundancy and newness of idea expansion are properly represented.
The sources it uses (yes, it searches in Wikipedia)
I gave it a try with cystic fibrosis. Here is what I got:
A concept tree with the articles that should be mentioned
A proper definition, functional information, etc.
We still need time to get used to this system but I’ m pretty sure it can be better and more user-friendly than Pubmed itself.
Reviews and debates about it:
I’ve been playing with Powerset for a while. It seems to be a service that can take us to the world of semantic web or web 3.0. It uses Wikipedia and Freebase as resources. The main idea is to ask questions instead of search for terms. Let’s give it a try.
If you make a search for “Who discovered penicillin” in Google, you will see this (Alexander Fleming Discovers Penicillin) and many more similar articles. Even if we know the truth is different.
If you ask the same question in Powerset, you get this:
It’s a bit more accurate, isn’t it?
Try it and let me know if you find something interesting. And don’t forget to check out my Personalized Medical Search!
Here are some more examples.
Yesterday, I wrote about the new Scienceroll Search which is a personalized medical search engine. The feedback is just fantastic, I didn’t expect to get so many comments here on the blog, on Twitter or via e-mail in such a short period of time.
Kerri Morrone said:
And David Rothman said:
He’s right, as a metasearch engine, it cannot and shouldn’t be a replacement for Pubmed. It’s just a new tool for medical professionals and patients who seek reliable medical information of good quality.
Thanks to Ole Eichhorn, now it has a new and easily recognizable domain at ScienceRollSearch.com.
Here are the first reactions:
Let me say, this is one really cool, really useful toy for anyone in health, medicine, life sciences, or research in these areas.