Hi Abilash Mathew, Pretty interesting. In fact I think that many systems use the same kind of approach but the success of each system is about the addition of the different components of the pipeline like the quality of dictionaries, the variety/diversity of data, the algorithm settings, etc.
Here is another interesting article about IBM Watson: https://www.statnews.com/2017/09/05/watson-ibm-cancer/ Best, Maite On Thu, Oct 5, 2017 at 6:54 AM, <abilash.mat...@cognizant.com> wrote: > Hi All, > > I have recently come across below YouTube video and the documentation on > IBM Watson Medical Records Text Analytics Solution (MRTAS). Based on my > analysis, it follows the same approach as CTAKES ( uses same architecture > and dictionary lookups) and also does the same kind of data extraction. > This is just to check anyone noticed this similarity. > > https://www.youtube.com/watch?v=7c4kxYnuBNk > > http://www.medtechmedia.com/files/medtech_images/IBM_110615_Final_PPT.pdf > > > Thanks, > Abilash Mathew > This e-mail and any files transmitted with it are for the sole use of the > intended recipient(s) and may contain confidential and privileged > information. If you are not the intended recipient(s), please reply to the > sender and destroy all copies of the original message. Any unauthorized > review, use, disclosure, dissemination, forwarding, printing or copying of > this email, and/or any action taken in reliance on the contents of this > e-mail is strictly prohibited and may be unlawful. Where permitted by > applicable law, this e-mail and other e-mail communications sent to and > from Cognizant e-mail addresses may be monitored. >
