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...
保存先:
| 出版年: | Clin Diagn Lab Immunol |
|---|---|
| 主要な著者: | , , |
| フォーマット: | Artigo |
| 言語: | Inglês |
| 出版事項: |
American Society for Microbiology (ASM)
2001
|
| 主題: | |
| オンライン･アクセス: | 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 |
| タグ: |
タグなし, このレコードへの初めてのタグを付けませんか!
|