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svm classification model  (Janssen)

 
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    Janssen svm classification model
    Svm Classification Model, supplied by Janssen, used in various techniques. Bioz Stars score: 86/100, based on 1 PubMed citations. ZERO BIAS - scores, article reviews, protocol conditions and more
    https://www.bioz.com/product/svm+classification+model/classification+model+svm/pm41554485-98-23-30
    Average 86 stars, based on 1 article reviews
    svm classification model - by Bioz Stars, 2026-10
    86/100 stars

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    other:

    Article Title: Structural brain differences in major depressive disorder patients with suicidal risk: Evidence from the DIRECT consortium.
    Article Snippet: Objective: Although previous studies have reported structural brain alterations in major depressive disorder (MDD) patients at risk of suicide, no wide consensus has been reached.. This study aimed to elucidate structural brain differences between MDD patients with and without suicide risk using data from the DIRECT Consortium, advancing our understanding of the neurophysiological mechanisms underlying suicide risk in MDD patients.. Methods: A total of 203 healthy controls (HCs), 208 MDD patients without suicide risk (MDD-NSR), and 376 MDD patients with suicide risk (MDD-SR) were included.



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    Summary of the performance of AI models for assessment of stroke via retinal imaging.

    Journal: Frontiers in Computational Neuroscience

    Article Title: Artificial intelligence in stroke risk assessment and management via retinal imaging

    doi: 10.3389/fncom.2025.1490603

    Figure Lengend Snippet: Summary of the performance of AI models for assessment of stroke via retinal imaging.

    Article Snippet: , 2022 , 56 (21/35/0) , OCT , SVM (Classification of pial collateral status) , Hamad General Hospital , 1. Retinal Vessel Multifractal Dimensions: Significantly higher in patients with poor pial collaterals compared to good pial collaterals. 2. SVM Model for classification: Accuracy = 0.743 Sensitivity = 0.743 Specificity = 0.707.

    Techniques: Imaging, Extraction, Biomarker Discovery, Isolation