PhD Candidate, Medical University of Vienna & CSH Vienna
Elma Dervic has been a PhD candidate at the Section for Science of Complex Systems at the Medical University of Vienna and the Complexity Science Hub Vienna since January 2019.
She received the BSc., Spec. Sci. and MSc. degrees in electrical engineering from the University of Montenegro in 2014, 2015, and 2017, respectively.
Elma was working on the first digital pedological system of Montenegro in the First Center of Excellence in Montenegro (BIO-ICT) at the University of Montenegro. She is a co-founder of the venture-funded IoT startup BeeAnd.me, which brings technology to beekeepers and helps bees with data science. Elma is known as a 3-time “share positive impact” TEDx speaker.
Elma’s research interests include machine learning, network science and everything impactful related to data science. Currently, she is working with medical data and comorbidity networks.
E. Dervic, C. Deischinger, et al.
The Effect of Cardiovascular Comorbidities on Women Compared to Men: Longitudinal Retrospective Analysis
JMIR Cardio 5 (2) (2021) e28015
M. Leutner, et al.
Risk of Typical Diabetes-Associated Complications in Different Clusters of Diabetic Patients: Analysis of Nine Risk Factors
Journal of Personalized Medicine 11 (5) (2021) 328
N. Haug, [...] P. Klimek
Ranking the effectiveness of worldwide COVID-19 government interventions
Nature Human Behaviour 4 (2020) 1303–1312
C. Deischinger, et al.
Diabetes mellitus is associated with a higher risk for major depressive disorder in women than in men
BMJ Open Diab Res Care 8 (2020) e001430