37. Elma Dervić - Using network science to find criticial factors and events in decease trajactories

## Summary

Today on the show I have the pleasure to talk to Elma Dervic. PhD at the Medical University of Vienna where she is applying network science to study patience medical records to identify how correlating deceases evolve over time and individual factors and events contribute to send patience on very different decease progressions. So doctors get a better understanding what treatments to apply in younger patients to reduce the probability of follow up complications when those patients get older; several decades into the future.

## TOC

00:00:00 Start

00:01:40 Introduction

00:04:35 PhD in network science

00:08:13 The Medical Dataset used to study decease trajectories

00:18:18 Building network representations of medical data

00:32:27 Unsupervised clustering to identify communities of deceases

00:39:03 Studying and drawing conclusion from identified communities

00:47:23 Next steps and future work

## References

https://www.linkedin.com/in/elmahot/ - Elma Hot Dervic

https://www.csh.ac.at/researcher/elma-dervic/ - Complexity Science Hub

https://www.linkedin.com/company/montenegrin-ai-association/ - MAIA