Data science in Healthcare: Extreme-scale text-based classification of medical data

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The second meet-up from the Data science society meet-ups 2021 is under the topic of Healthcare!

After the successful editions from previous years, in 2021 we are introducing again series of monthly meet-ups where we will share with you different aspects of data science application in different industries !

This month we will present you interesting points around the extreme-scale text-based classification of medical data.

The presenters are:

Anton Hristov – Computer vision researcher and engineer ;

Svetla Boytcheva – Senior research lead;

The applications of data science in healthcare becomes more and more popular and important. Apart from helping in the drug development and creating new insights and approaches for disease treatment, one of the most commonly – spread aspects is text classification of medical data.

Text classification is the process of applying pre-defined categories to certain portion of the data . Classes are selected from pre-selected taxonomy , which are later used for the purposes of built models.

During the event you will have a chance to learn about:

  • a solution , based on deep learning methods of the text-based classification problem, for the SNOMED CT, that contains more than 350,000 concepts.
  • This is an extreme scale multiclass multi label classification task
  • The importance of this task is hidden in the fact, that it will allow automatic processing of the clinical narratives and normalization of the textual descriptions of disorders, procedures and finding into medical standard classification.

Except for the MeetUp, everyone is invited to share what s/he is doing in the field of Data Science – We believe that sharing is caring! So come and join us for knowledge sharing !: )

Data and Time: 18.05.2021 , 19:00-20:30 EEST Timezone

Location: Online

The event is open and free . Book a ticket to reserve a place and to get the materials afterwards.

Send your questions for the speakers directly during the event, and they will be covered in the QA section!

Event Partners

This event is organized in partnership with Ontotext. We want to thank them for the support and their contribution to the Data Science Society!


Bookings are closed for this event.