Podcasts Technology Austrian Artificial Intelligence Podcast 37. Elma Dervic - Using network science to find criticial factors and events in decease trajactories

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

Published: March 29, 2023, 12:12 p.m.

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## Summary

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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.

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## TOC

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00:00:00 Start

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00:01:40 Introduction

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00:04:35 PhD in network science

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

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00:18:18 Building network representations of medical data

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

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

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00:47:23 Next steps and future work

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## References

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

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

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

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