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Matadori - Predictive Model for Assessing Patient Suitability

Started ‎10-02-2025 by
Modified ‎10-23-2025 by
Views 480
Team Name Matadori
Track Public Sector, Health Care 
Use Case

Predictive Model for Assessing Patient Suitability

with innovative feature engineering and synthetic data augmentation techniques from the SAS Viya Suite

Technology SAS Viya Visual Data Mining and Machine Learning, SAS Visual Text Analytics, SAS Data Maker, SAS Visual Analytics
Region EMEA, Czech Republic, Prague
Team lead Vlastimil Lisák @vlisak
Team members @wieserm @pivonkav , Team Mentor: @SnowTiger 
Social Media Posts

https://www.linkedin.com/feed/update/urn:li:activity:7379516919068119040/ 

 

Post Oktober 14 from Vlastimil Lisak 

 

(26) Post | Feed | LinkedIn

Is your team interested in participating in an interview? Y
Optional: Expand on your technology expertise Improve Model Accuracy with Synthetic Data though Data Augmentation Techniques

 

Jury video

 

 

Pitch video

 

Comments

This is incredible; thanks for this great work, dear Matadori team.

Interesting application of SAS Data Maker and SAS Model Studio... well done Matadori!

Version history
Last update:
‎10-23-2025 12:15 PM
Updated by:

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