Research output per year
Research output per year
Personal profile
Short presentation
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,
Education/Academic qualification
Computational Biomedicine, M.Sc., University of Southern Denmark
1 Sep 2019 → 28 Jun 2021
Award Date: 28 Jun 2021
Actuarial Science & Risk Management, M.Sc., University of Piraeus
31 Oct 2017 → 15 Jul 2019
Award Date: 15 Jul 2019
Statistics, B.Sc., University of Piraeus
1 Sep 2013 → 20 Jun 2017
Award Date: 20 Jun 2017
Collaborations and top research areas from the last five years
Recent external collaboration on country/territory level. Dive into details by clicking on the dots or
Research output
- 6 Citations
- 5 Journal article
-
Predicting mortality risk after a fall in older adults using health care spending patterns: a population-based cohort study
Katsiferis, A., Mortensen, L. H., Khurana, M. P., Mishra, S., Jensen, M. K. & Bhatt, S., 2023, In: Age and Ageing. 52, 8, 9 p.Research output: Contribution to journal › Journal article › Research › peer-review
Open AccessFile24 Downloads (Pure) -
Sex differences in health care expenditures and mortality after spousal bereavement: A register-based Danish cohort study
Katsiferis, A., Bhatt, S., Mortensen, L. H., Mishra, S. & Westendorp, R. G. J., 2023, In: PLoS ONE. 18, 3, 14 p.Research output: Contribution to journal › Journal article › Research › peer-review
Open AccessFile2 Citations (Scopus)44 Downloads (Pure) -
Assessing racial bias in type 2 diabetes risk prediction algorithms
Cronjé, H. T., Katsiferis, A., Elsenburg, L. K., Andersen, T. O., Rod, N. H., Nguyen, T-L. & Varga, T. V., 17 May 2023, In: PLOS Global Public Health. 3, 5, 15 p., e0001556.Research output: Contribution to journal › Journal article › Research › peer-review
Open AccessFile49 Downloads (Pure) -
Machine learning models of healthcare expenditures predicting mortality: A cohort study of spousal bereaved Danish individuals
Katsiferis, A., Bhatt, S., Mortensen, L. H., Mishra, S., Jensen, M. K. & Westendorp, R. GJ., 2023, In: PLoS ONE. 16 p.Research output: Contribution to journal › Journal article › Research › peer-review
Open AccessFile20 Downloads (Pure) -
Dynamical indicators in time series of healthcare expenditures predict mortality risk of older adults following spousal bereavement
Katsiferis, A., Nielsen, P. Y., Jensen, M. K. & Westendorp, R. G. J., 2022, In: BMC Geriatrics. 22, 1, 301.Research output: Contribution to journal › Journal article › Research › peer-review
Open AccessFile4 Citations (Scopus)30 Downloads (Pure)