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 Lettjournal_title
Cancer lettersauthors
Baxt WGdoi
10.1016/0304-3835(94)90090-6subject
Has Abstractpub_date
1994-03-15 00:00:00pages
85-93issue
2-3eissn
0304-3835issn
1872-7980pii
0304-3835(94)90090-6journal_volume
77pub_type
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