Alexandros Katsiferis
Dados Biográficos
| ID | 7794969 |
|---|---|
| NOME | Alexandros Katsiferis |
| PRENOMES | Alexandros |
| SOBRENOME | Katsiferis |
| ASSINATURA | KATSIFERIS A |
| AFILIAÇÕES | University of Copenhagen |
| ORCID | 0000-0002-0957-9835 |
| VERIFICADO | Sim |
| TOTAL DE OBRAS | 2 |
| TOTAL DE CITAÇÕES | 0 |
| TOTAL COMO AUTOR | 2 |
| TOTAL COMO EDITOR | 0 |
| PRIMEIRO ANO DE PUBLICAÇÃO | 2023 |
| ANO MAIS RECENTE DE PUBLICAÇÃO | 2025 |
| ÍNDICE H | 0 |
Exploring the potential and limitations of deep learning and explainable AI for longitudinal life course analysis
These insights provide a foundation for future research applying DL and XAI to life course data, highlighting the challenges associated with sparse healthcare data, and the critical need for advancing interpretability frameworks in personalised public health
Assessing racial bias in type 2 diabetes risk prediction algorithms
Risk prediction models for type 2 diabetes can be useful for the early detection of individuals at high risk. However, models may also bias clinical decision-making processes, for instance by differential risk miscalibration across racial groups. We investigated whether the Prediabetes Risk Test (PRT) issued by the National Diabetes Prevention Program, and two prognostic models, the Framingham Offspring Risk Score, and the ARIC Model, demonstrate…
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Assessing racial bias in type 2 diabetes risk prediction algorithms
Risk prediction models for type 2 diabetes can be useful for the early detection of individuals at high risk. However, models may also bias clinical decision-making processes, for instance by differential risk miscalibration across racial groups. We investigated whether the Prediabetes Risk Test (PRT) issued by the National Diabetes Prevention Program, and two prognostic models, the Framingham Offspring Risk Score, and the ARIC Model, demonstrate…
Exploring the potential and limitations of deep learning and explainable AI for longitudinal life course analysis
These insights provide a foundation for future research applying DL and XAI to life course data, highlighting the challenges associated with sparse healthcare data, and the critical need for advancing interpretability frameworks in personalised public health
Gerontology (2 obras) · Medicine (2 obras) · Biostatistics (1 obras) · Course (navigation (1 obras) · demographic modeling and climate adaptation (1 obras) · Demography (1 obras) · Developmental psychology (1 obras) · Diabetes mellitus (1 obras) · Diabetes, Cardiovascular Risks, and Lipoproteins (1 obras) · Disease (1 obras)