Complexity, chaos and human physiology: the justification for non-linear neural computational analysis.

Abstract:

:Background is presented to suggest that a great many biologic processes are chaotic. It is well known that chaotic processes can be accurately characterized by non-linear technologies. Evidence is presented that an artificial neural network, which is a known method for the application of non-linear statistics, is able to perform more accurately in identifying patients with and without myocardial infarction than either physicians or other computer paradigms. It is suggested that the improved performance may be due to the network's better ability to characterize what is a chaotic process imbedded in the problem of the clinical diagnosis of this entity.

journal_name

Cancer Lett

journal_title

Cancer letters

authors

Baxt WG

doi

10.1016/0304-3835(94)90090-6

subject

Has Abstract

pub_date

1994-03-15 00:00:00

pages

85-93

issue

2-3

eissn

0304-3835

issn

1872-7980

pii

0304-3835(94)90090-6

journal_volume

77

pub_type

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