Detection of Immunologically Significant Factors for Chronic Fatigue Syndrome Using Neural-Network Classifiers

Neural-network classifiers were used to detect immunological differences in groups of chronic fatigue syndrome (CFS) patients that heretofore had not shown significant differences from controls. In the past linear methods were unable to detect differences between CFS groups and non-CFS control group...

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Detalhes bibliográficos

Publicado no:	Clin Diagn Lab Immunol
Principais autores:	Hanson, S. J., Gause, W., Natelson, B.
Formato:	Artigo
Idioma:	Inglês
Publicado em:	American Society for Microbiology (ASM) 2001
Assuntos:	Experimental Clinical Investigation
Acesso em linha:	https://ncbi.nlm.nih.govhttps://pmc.ncbi.nlm.nih.gov/articles/PMC96120/ https://ncbi.nlm.nih.govhttps://pubmed.ncbi.nlm.nih.gov/11329477/ https://ncbi.nlm.nih.govhttps://doi.org/10.1128/CDLI.8.3.658-662.2001
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