| 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
|
| 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
This is incredible; thanks for this great work, dear Matadori team.
Interesting application of SAS Data Maker and SAS Model Studio... well done Matadori!
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