IBM MRTAS

[Ab...@cognizant.com]

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.

Re: IBM MRTAS

[Alexandru Zbarcea <al...@apache.org>]

Really interesting indeed,

IBM Watson seems to have a Deep Learning component, too. I am curios about
an Apache cTAKES integration with Apache MXNet [1].

Alex

[1] - Apache MXNet: https://mxnet.incubator.apache.org/


On Thu, Oct 5, 2017 at 6:59 AM, Maite Meseure Hugues <
meseure.maite@gmail.com> wrote:

> 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, <Ab...@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.
> >
>

Re: IBM MRTAS

[Maite Meseure Hugues <me...@gmail.com>]

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, <Ab...@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.
>