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Author

Marco Roccetti

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2026

Human-Centric Health Data Fidelity: Inferential Methodologies for Calibrating Human Systems Integration in Global Health Surveillance

We start from the idea that the reliability of global health surveillance on health data in the present era depends on the expert's ability to validate the fidelity of massive data through rigorous inferential procedures. This paper discusses the potential of a formal framework for assessing the fidelity of a Health Da...

Marco Roccetti · 0 citations
#artificial intelligence Open access Sep 2026

An AI for diseases or a sick AI? The epistemological pathology of big data overload and the loss of statistical significance

Modern clinical epidemiology and artificial intelligence are increasingly driven by an idealized premise: the belief that massive databases and advanced machine learning can redeem causal inference from observational uncertainty. Behind the facade of multi-million-record cohorts, however, a profound epistemological cri...

Marco Roccetti · 0 citations

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