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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...

תיאור מלא

שמור ב:
מידע ביבליוגרפי
Main Authors: Hanson, S. J., Gause, W., Natelson, B.
פורמט: Artigo
שפה:Inglês
יצא לאור: American Society for Microbiology 2001
נושאים:
גישה מקוונת:https://ncbi.nlm.nih.gov/pmc/articles/PMC96120/
https://ncbi.nlm.nih.gov/pubmed/11329477
https://ncbi.nlm.nih.govhttp://dx.doi.org/10.1128/CDLI.8.3.658-662.2001
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