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Table 1 Motivations to apply complex systems mathematics on predictive medicine

From: Artificial Adaptive Systems and predictive medicine: a revolutionary paradigm shift

Processes are based on complex networks of interacting genes and proteins.

Health status is the consequence of dynamic processes that regulate these networks

Non linear critical thresholds link to pathology

The predictions have to be applied at individual patient level.

Huge amount of data per subject hamper statistical tests