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Image Search Results
Journal: Biomedical Journal
Article Title: Different impacts of common risk factors associated with thrombocytopenia in patients with hepatitis B virus and hepatitis C virus infection
doi: 10.1016/j.bj.2021.09.001
Figure Lengend Snippet: Antiplatelet antibody results in HCV-TP patients, HBV-TP patients, and HCV controls. A. Antiplatelet antibody profiles. Compared with HCV controls, HCV-TP patients had significantly higher positive rates for antiplatelet antibody and HLA class I antibody. ∗ denotes statistical significance compared with HCV controls. B. Antiplatelet antibody complexity. The results revealed the number of types of antiplatelet antibodies. Significant differences were observed between HCV-TP patients and HCV controls ( p = 0.024) but not between HCV-TP and HBV-TP groups using the Pearson chi-square method.
Article Snippet: Compared with HCV patients with platelet level 1, the patients with platelet count level 4/5 had different profiles in the number of types of antiplatelet antibodies by using the
Techniques:
Journal: Biomedical Journal
Article Title: Different impacts of common risk factors associated with thrombocytopenia in patients with hepatitis B virus and hepatitis C virus infection
doi: 10.1016/j.bj.2021.09.001
Figure Lengend Snippet: Antiplatelet antibody results according to platelet levels in HCV patients. A. Antiplatelet antibody profile. Compared with the HCV patients with platelet count level 1 (normal), patients with platelet level 3 (moderate thrombocytopenia) had significantly higher positive rates of HLA class I antibody, while patients with platelet level 4/5 (severe thrombocytopenia) had higher positive anti-GPIb/IX antibody rates. In addition, there was a trend that positive rates of all anti-GP antibody increased as severity of thrombocytopenia progressed. B. Antiplatelet antibody complexity. Compared with HCV patients with platelet level 1, the patients with platelet count level 4/5 had different profiles in the number of types of antiplatelet antibodies by using the Pearson chi-square method ( p = 0.015). In addition, these patients had a significantly lower percentage of negative antiplatelet antibodies and a higher percentage of ≥3 types of antibodies. ∗ denotes statistical significance when comparing the HCV patients with platelet count level 1.
Article Snippet: Compared with HCV patients with platelet level 1, the patients with platelet count level 4/5 had different profiles in the number of types of antiplatelet antibodies by using the
Techniques:
Journal: Journal of Healthcare Engineering
Article Title: A Holistic Performance Comparison for Lung Cancer Classification Using Swarm Intelligence Techniques
doi: 10.1155/2021/6680424
Figure Lengend Snippet: Performance analysis of classifiers in terms of classification accuracies (%) with Grasshopper optimization for different gene selection techniques using 50–200 selected genes.
Article Snippet: From , it is identified that DT classifier with 50 selected genes in
Techniques: Selection
Journal: Journal of Healthcare Engineering
Article Title: A Holistic Performance Comparison for Lung Cancer Classification Using Swarm Intelligence Techniques
doi: 10.1155/2021/6680424
Figure Lengend Snippet: Performance analysis of classifiers in terms of classification accuracies (%) with Moth flame optimization for different gene selection techniques using 50–200 selected genes.
Article Snippet: From , it is identified that DT classifier with 50 selected genes in
Techniques: Selection
Journal: Journal of Healthcare Engineering
Article Title: A Holistic Performance Comparison for Lung Cancer Classification Using Swarm Intelligence Techniques
doi: 10.1155/2021/6680424
Figure Lengend Snippet: Performance analysis of classifiers in terms of classification accuracies (%) with Bacterial foraging optimization for different gene selection techniques using 50–200 selected genes.
Article Snippet: From , it is identified that DT classifier with 50 selected genes in
Techniques: Selection
Journal: Journal of Healthcare Engineering
Article Title: A Holistic Performance Comparison for Lung Cancer Classification Using Swarm Intelligence Techniques
doi: 10.1155/2021/6680424
Figure Lengend Snippet: Performance analysis of classifiers in terms of classification accuracies (%) with Krill Herd optimization for different gene selection techniques using 50–200 selected genes.
Article Snippet: From , it is identified that DT classifier with 50 selected genes in
Techniques: Selection
Journal: Journal of Healthcare Engineering
Article Title: A Holistic Performance Comparison for Lung Cancer Classification Using Swarm Intelligence Techniques
doi: 10.1155/2021/6680424
Figure Lengend Snippet: Performance analysis of classifiers in terms of classification accuracies (%) with Artificial fish swarm optimization for different gene selection techniques using 50–200 selected genes.
Article Snippet: From , it is identified that DT classifier with 50 selected genes in
Techniques: Selection
Journal: Journal of Healthcare Engineering
Article Title: A Holistic Performance Comparison for Lung Cancer Classification Using Swarm Intelligence Techniques
doi: 10.1155/2021/6680424
Figure Lengend Snippet: Performance analysis of classifiers in terms of PI (%) with Grasshopper optimization for different gene selection techniques using 50–200 selected genes.
Article Snippet: From , it is identified that DT classifier with 50 selected genes in
Techniques: Selection
Journal: Journal of Healthcare Engineering
Article Title: A Holistic Performance Comparison for Lung Cancer Classification Using Swarm Intelligence Techniques
doi: 10.1155/2021/6680424
Figure Lengend Snippet: Performance analysis of classifiers in terms of PI (%) with Moth flame optimization for different gene selection techniques using 50–200 selected genes.
Article Snippet: From , it is identified that DT classifier with 50 selected genes in
Techniques: Selection
Journal: Journal of Healthcare Engineering
Article Title: A Holistic Performance Comparison for Lung Cancer Classification Using Swarm Intelligence Techniques
doi: 10.1155/2021/6680424
Figure Lengend Snippet: Performance analysis of classifiers in terms of PI (%) with Bacterial foraging optimization for different gene selection techniques using 50–200 selected genes.
Article Snippet: From , it is identified that DT classifier with 50 selected genes in
Techniques: Selection
Journal: Journal of Healthcare Engineering
Article Title: A Holistic Performance Comparison for Lung Cancer Classification Using Swarm Intelligence Techniques
doi: 10.1155/2021/6680424
Figure Lengend Snippet: Performance analysis of classifiers in terms of PI (%) with Krill Herd optimization for different gene selection techniques using 50–200 selected genes.
Article Snippet: From , it is identified that DT classifier with 50 selected genes in
Techniques: Selection
Journal: Journal of Healthcare Engineering
Article Title: A Holistic Performance Comparison for Lung Cancer Classification Using Swarm Intelligence Techniques
doi: 10.1155/2021/6680424
Figure Lengend Snippet: Performance analysis of classifiers in terms of PI (%) with Artificial fish swarm optimization for different gene selection techniques using 50–200 selected genes.
Article Snippet: From , it is identified that DT classifier with 50 selected genes in
Techniques: Selection