We discuss the new paradigm of predictive health intelligence, based on the use of modern deep learning algorithms and big biomedical data, along the various dimensions of: a) its potential, b) the limitations it encounters, and c) the sense it makes. We conclude by reasoning on the idea that viewing data as the unique source of sanitary knowledge, fully abstracting from human medical reasoning, may affect the scientific credibility of health predictions.
Roccetti M. (2023). Predictive health intelligence: Potential, limitations and sense making. MATHEMATICAL BIOSCIENCES AND ENGINEERING, 20(6), 10459-10463 [10.3934/mbe.2023460].
Predictive health intelligence: Potential, limitations and sense making
Roccetti M.
Primo
2023
Abstract
We discuss the new paradigm of predictive health intelligence, based on the use of modern deep learning algorithms and big biomedical data, along the various dimensions of: a) its potential, b) the limitations it encounters, and c) the sense it makes. We conclude by reasoning on the idea that viewing data as the unique source of sanitary knowledge, fully abstracting from human medical reasoning, may affect the scientific credibility of health predictions.| File | Dimensione | Formato | |
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