Alexandros Katsiferis

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My main research is focused on prediction modelling of adverse outcomes in vulnerable individuals challenged by life-stressors. My primary interest lies in the use of longitudinal, time-series data, their properties and dynamics in classic and machine learning prognostic models. I am also fascinated by the implementation, understanding, and utility of various sources of data that capture further layers of the complexity of human health. My PhD project is placed in the intersection of epidemiology, statistics and machine learning and is part of the CHALLENGE platform, 'Harnessing the Power of Big Data to Address the Societal Challenge of Ageing'.

Primary fields of research

Public Health, Survival Analysis, Machine Learning, Feature Extraction & Engineering of longitudinal data, Life-stressors Response,

Selected publications

1. Published

   Predicting mortality risk after a fall in older adults using health care spending patterns: a population-based cohort study

   Katsiferis, Alexandros, Mortensen, Laust Hvas, Khurana, Mark Poulsen, Mishra, S., Jensen, Majken Karoline & Bhatt, Samir, 2023, In: Age and Ageing. 52, 8, 9 p.

   Research output: Contribution to journal › Journal article › Research › peer-review

2. Published

   Sex differences in health care expenditures and mortality after spousal bereavement: A register-based Danish cohort study

   Katsiferis, Alexandros, Bhatt, Samir Jagdish, Mortensen, Laust Hvas, Mishra, S. & Westendorp, Rudi GJ, 2023, In: PLoS ONE. 18, 3, 14 p.

   Research output: Contribution to journal › Journal article › Research › peer-review