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naïve bayes classifier  (IEEE Access)

 
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    IEEE Access naïve bayes classifier
    Naïve Bayes Classifier, supplied by IEEE Access, used in various techniques. Bioz Stars score: 90/100, based on 1 PubMed citations. ZERO BIAS - scores, article reviews, protocol conditions and more
    https://www.bioz.com/result/naïve bayes classifier/product/IEEE Access
    Average 90 stars, based on 1 article reviews
    naïve bayes classifier - by Bioz Stars, 2026-04
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    Image Search Results


    Optogenetic inhibition of vCA1 pyramidal neurons induces mechanical allodynia in naïve rats. A Schematic of optogenetic virus injection and optical fiber implantation in the vCA1. B Representative confocal image of virus expression and optical fiber location in the vCA1. C Inhibition of vCA1 pyramidal neurons induces mechanical allodynia. n = 10 per group. *** P < 0.001, two-way ANOVA with Bonferroni’s post hoc test. D Representative movement tracks in a 10-min period during RTPP from mCherry (left) and NpHR (right) groups. The yellow areas indicate the light stimulation side. E Optogenetic inhibition decreases the time spent on the stimulation side in the NpHR group. n = 10 per group. * P < 0.05, unpaired t -test.

    Journal: Neuroscience Bulletin

    Article Title: Ventral Hippocampal CA1 Pyramidal Neurons Encode Nociceptive Information

    doi: 10.1007/s12264-023-01086-x

    Figure Lengend Snippet: Optogenetic inhibition of vCA1 pyramidal neurons induces mechanical allodynia in naïve rats. A Schematic of optogenetic virus injection and optical fiber implantation in the vCA1. B Representative confocal image of virus expression and optical fiber location in the vCA1. C Inhibition of vCA1 pyramidal neurons induces mechanical allodynia. n = 10 per group. *** P < 0.001, two-way ANOVA with Bonferroni’s post hoc test. D Representative movement tracks in a 10-min period during RTPP from mCherry (left) and NpHR (right) groups. The yellow areas indicate the light stimulation side. E Optogenetic inhibition decreases the time spent on the stimulation side in the NpHR group. n = 10 per group. * P < 0.05, unpaired t -test.

    Article Snippet: Naïve Bayes classifiers in the MATLAB programming environment (fitcnb) were applied to test the specificity of the vCA1 neural code in response to various stimuli [ ].

    Techniques: Inhibition, Virus, Injection, Expressing

    Comparative analysis of the techniques used to predict Mesothelioma and lung cancer

    Journal: Archives of Computational Methods in Engineering

    Article Title: Artificial Intelligence Techniques to Predict the Airway Disorders Illness: A Systematic Review

    doi: 10.1007/s11831-022-09818-4

    Figure Lengend Snippet: Comparative analysis of the techniques used to predict Mesothelioma and lung cancer

    Article Snippet: [ ] , , Hubei Taihe Hospital (110 patients) , Naïve Bayes Classifier,Fast Correlation Based Filter, , AUC = 98.9% Sensitivity = 98.1% Specificity = 100% , The ability of metabolic indicators to identify lung tumours early had been proven , Smaller size of data used to carry the research.

    Techniques: Computed Tomography, Imaging

    Comparative analysis of the techniques used to predict asthma, tuberculosis, cystic fibrosis

    Journal: Archives of Computational Methods in Engineering

    Article Title: Artificial Intelligence Techniques to Predict the Airway Disorders Illness: A Systematic Review

    doi: 10.1007/s11831-022-09818-4

    Figure Lengend Snippet: Comparative analysis of the techniques used to predict asthma, tuberculosis, cystic fibrosis

    Article Snippet: [ ] , , Hubei Taihe Hospital (110 patients) , Naïve Bayes Classifier,Fast Correlation Based Filter, , AUC = 98.9% Sensitivity = 98.1% Specificity = 100% , The ability of metabolic indicators to identify lung tumours early had been proven , Smaller size of data used to carry the research.

    Techniques: Biomarker Discovery, Derivative Assay, Computed Tomography, Plasmid Preparation, Diagnostic Assay

    Overall comparison of models

    Journal: Archives of Computational Methods in Engineering

    Article Title: Artificial Intelligence Techniques to Predict the Airway Disorders Illness: A Systematic Review

    doi: 10.1007/s11831-022-09818-4

    Figure Lengend Snippet: Overall comparison of models

    Article Snippet: [ ] , , Hubei Taihe Hospital (110 patients) , Naïve Bayes Classifier,Fast Correlation Based Filter, , AUC = 98.9% Sensitivity = 98.1% Specificity = 100% , The ability of metabolic indicators to identify lung tumours early had been proven , Smaller size of data used to carry the research.

    Techniques: Comparison, Plasmid Preparation

    ANN model performance as compared to previous automated sleep scoring approaches to classify rodent behavioral state.

    Journal: PeerJ

    Article Title: An artificial neural network for automated behavioral state classification in rats

    doi: 10.7717/peerj.12127

    Figure Lengend Snippet: ANN model performance as compared to previous automated sleep scoring approaches to classify rodent behavioral state.

    Article Snippet: , Naïve Bayes classifier , 93 , 5 , No (Matlab) , Only days with <5% artifact.

    Techniques: Plasmid Preparation