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

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