april, 2019

30apr17:3020:30IQVIA Data Science Meet-upMachine Learning in Healthcare17:30 - 20:30 Platz der Einheit 2Access:Public

Event Details

Please join us for the Frankfurt Data Science in Healthcare Meet-up!
We are proud to announce a great mix of talks from academia and industry sharing case studies around use cases for machine learning in healthcare. Our goal is to establish a networking event for practitioners and data scientists in the field.

17:30 Check-in, Snacks und Drinks
Intro and Welcome
Statistical Relational Learning in Healthcare
Prof. Dr. Kristian Kersting, Computer Science Department and Centre for Cognitive Science, TU Darmstadt
How to deal with unbalanced data: Impact of various methods on model accuracy in healthcare
Dr. Agnieszka Wolk, Senior Director, Data Science and Advanced Analytics, IQVIA
19:10 Applying Boosted Relational Learning to the Simulacrum Dataset
of 1.3 million synthetic cancer patients
Joseph Heenan, Associate Director, Software Development, Analytics Center of Excellence, IQVIA
19:40 Networking

Who should attend: Data scientists, physicians, researchers, machine learning engineers, students and anyone else who is keen on the subject. We welcome everyone with an interest in data science and its application in human health.
All skill levels are welcome.

Please Note: The Meet-up is free of charge but there is a limited number of seats. Therefore, please RSVP your free spot. Online registration is obligatory!

Who we are: IQVIA™ is The Human Data Science Company™, focused on using data and science to help healthcare clients find better solutions for their patients. Formed through the merger of IMS Health and Quintiles, IQVIA offers a broad range of solutions that harness advances in healthcare information, technology, analytics and human ingenuity to drive healthcare forward. We bring together areas like machine learning, predictive analytics, and deep domain expertise to solve the most challenging problems in healthcare.

More about us: www.iqvia.com


(Tuesday) 17:30 - 20:30



Platz der Einheit 2