Tibor V Varga
Biographic Data
| ID | 9063173 |
|---|---|
| NAME | Tibor V Varga |
| GIVEN NAMES | Tibor V |
| FAMILY NAME | Varga |
| SIGNATURE | VARGA T V |
| AFFILIATIONS | University of Copenhagen |
| ORCID | 0000-0002-2383-699X |
| VERIFIED | Yes |
| TOTAL WORKS | 3 |
| TOTAL CITATIONS | 0 |
| WORKS AS AUTHOR | 3 |
| WORKS AS EDITOR | 0 |
| FIRST PUBLICATION YEAR | 2023 |
| LATEST PUBLICATION YEAR | 2025 |
| H-INDEX | 0 |
A practical guide to interdisciplinary work in public health
AI chatbots and (mis)information in public health
Artificial Intelligence (AI)-based chatbots are considered one of the most innovative digital advancements in recent times. The public release of the AI chatbot ChatGPT (GPT-3.5) by OpenAI in November 2022 attracted massive attention with more than 100 million monthly active users. GPT-4 was released in March 2023 and is presently available for paid subscribers
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…
No prominent works on this page.
AI chatbots and (mis)information in public health
Artificial Intelligence (AI)-based chatbots are considered one of the most innovative digital advancements in recent times. The public release of the AI chatbot ChatGPT (GPT-3.5) by OpenAI in November 2022 attracted massive attention with more than 100 million monthly active users. GPT-4 was released in March 2023 and is presently available for paid subscribers
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…
A practical guide to interdisciplinary work in public health
Medicine (3 works) · Computer Science (2 works) · Data science (2 works) · Environmental health (2 works) · Nursing (2 works) · Public health (2 works) · Demography (1 work) · Diabetes mellitus (1 work) · Diabetes, Cardiovascular Risks, and Lipoproteins (1 work) · Digital Mental Health Interventions (1 work)