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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| Udgivet i: | Clin Diagn Lab Immunol |
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| Principais autores: | , , |
| Format: | Artigo |
| Sprog: | Inglês |
| Udgivet: |
American Society for Microbiology (ASM)
2001
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| Fag: | |
| Online adgang: | 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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