Building prognostic models using big data with Prof Kimmo Porkka episode artwork

EPISODE · Sep 29, 2023 · 10 MIN

Building prognostic models using big data with Prof Kimmo Porkka

from EHA Unplugged · host European Hematology Association

Guest Prof Kimmo Porkka together with host Dr Enrica Orsini talk about using big data to build prognostic models. Based on Prof Porkka’s experience on working with big data, he uses the Harmony Alliance as an example and gives an overview of data collection, the importance of data security and the importance to have the participation of a large network of hospitals or academic centers, and recognising the challenges behind that. Guest: Prof Kimmo Porka. University of Helsinki, FinlandHost: Dr Enrica Orsini, EHA. What did you think of this podcast? Share your opinions with us in this short feedback survey.Provide FeedbackWould you like to explore more eLearning or podcasts? Please visit the EHA Campus.https://ehaedu.org/CampusSubscribe, share, and review this podcast to be able to address topics you enjoy and like to listen to.Follow EHA on Instagram: https://www.instagram.com/EHA_Hematology/Facebook: https://e-h-a.link/facebookLinkedIn: https://www.linkedin.com/company/eha/Email us: [email protected] to receive the EHA Educational Updates via https://eha.news/subscribe 

Episode metadata supplied by the publisher feed · Published Sep 29, 2023

Embed this episode

NOW PLAYING

Building prognostic models using big data with Prof Kimmo Porkka

0:00 10:48

No transcript for this episode yet

We transcribe on demand. Request one and we'll notify you when it's ready — usually under 10 minutes.

No similar episodes found.

No similar podcasts found.

Frequently Asked Questions

How long is this episode of EHA Unplugged?

This episode is 10 minutes long.

When was this EHA Unplugged episode published?

This episode was published on September 29, 2023.

Can I download this EHA Unplugged episode?

Yes. Use the download control on the episode player to save the publisher-provided media file.
URL copied to clipboard!