Elma Dervic (CSH, MUW) will present an online talk within the seminar “Analysis of Complex Systems” on Friday, January 29, 2021, 3-4pm (CET) via Zoom.
If you would like to attend, please email firstname.lastname@example.org
Title: Modelling dynamical comorbidity networks from longitudinal health-care data
The aim of this project is to further our understanding of multimorbidity, the co-occurrence of two or more diseases in patients. Multimorbidity is associated with decreased quality of life, increases in hospitalizations, health care utilization, mortality, and costs of care. Therefore, the primary motivation behind this research project is the optimization of treatment paths by providing new insights into how multimorbid patient health states develop in men and women.
The first question is a population-wide analysis of disease correlations and disease progression. Concerning this question, I will work on developing comorbidity networks of human diseases based on medical claims data considering age, sex, and time.
The next question is the identification of sex-specific comorbidities. A structured approach of identifying sex and gender-specific differences in comorbidities will be introduced.
Elma Dervic is a PhD Candidate at the Section for Science of Complex Systems at the Medical University of Vienna and the Complexity Science Hub Vienna.
She received the BSc., Spec. Sci. and MSc. degrees in electrical engineering from the University of Montenegro in 2014, 2015 and 2017 respectively.
She is also known as a 3-time “share positive impact” TEDx speaker.