Complexity modeling: identify instability early.

Abstract:

:Biological systems are innately complex, display nonlinear behavior, and respond to both disease and its treatment in similar complex ways. Complex systems display self-organization and predictive behavior along a range of possible states, often referred to as chaotic behavior, and can be both characterized and quantified in terms of this chaotic behavior, which defined strange attractors (ρ) and variability. In this context, disease can be characterized as a difference in a disease state ρ and a healthy ρ. Furthermore, effectiveness of treatment can be defined as a minimization problem to decrease the phase-state difference between disease and health ρ values, such that effective treatment is defined as the ability to restore the healthy ρ. Importantly, this approach will be effective without anything being known about the physiologic processes that define health or disease. The implication is that this approach is a powerful tool to define the determinants of instability as compared with normal variability, to answer why disease is not healthy, and to identify all potentially effective treatment options independent of known pharmacology and physiology.

journal_name

Crit Care Med

journal_title

Critical care medicine

authors

Pinsky MR

doi

10.1097/CCM.0b013e3181f24484

subject

Has Abstract

pub_date

2010-10-01 00:00:00

pages

S649-55

issue

10 Suppl

eissn

0090-3493

issn

1530-0293

pii

00003246-201010001-00022

journal_volume

38

pub_type

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