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dynamic bayesian joint model  (Johns Hopkins HealthCare)

 
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    Johns Hopkins HealthCare dynamic bayesian joint model
    Prediction models for reclassification in active surveillance.
    Dynamic Bayesian Joint Model, supplied by Johns Hopkins HealthCare, 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/dynamic bayesian joint model/product/Johns Hopkins HealthCare
    Average 90 stars, based on 1 article reviews
    dynamic bayesian joint model - by Bioz Stars, 2026-05
    90/100 stars

    Images

    1) Product Images from "Active Surveillance for Prostate Cancer: Past, Current, and Future Trends"

    Article Title: Active Surveillance for Prostate Cancer: Past, Current, and Future Trends

    Journal: Journal of Personalized Medicine

    doi: 10.3390/jpm13040629

    Prediction models for reclassification in active surveillance.
    Figure Legend Snippet: Prediction models for reclassification in active surveillance.

    Techniques Used: Biomarker Discovery



    Similar Products

    dynamic bayesian joint model  (Johns Hopkins HealthCare)
    90
    Johns Hopkins HealthCare dynamic bayesian joint model
    Prediction models for reclassification in active surveillance.
    Dynamic Bayesian Joint Model, supplied by Johns Hopkins HealthCare, 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/dynamic bayesian joint model/product/Johns Hopkins HealthCare
    Average 90 stars, based on 1 article reviews
    dynamic bayesian joint model - by Bioz Stars, 2026-05
    90/100 stars
    		  Buy from Supplier

    Image Search Results


    Prediction models for reclassification in active surveillance.

    Journal: Journal of Personalized Medicine

    Article Title: Active Surveillance for Prostate Cancer: Past, Current, and Future Trends

    doi: 10.3390/jpm13040629

    Figure Lengend Snippet: Prediction models for reclassification in active surveillance.

    Article Snippet: Johns Hopkins [ , ] , 964 patients Gleason score ≤6 and at least two PSA measurements and at least 1 post-diagnosis biopsy , Dynamic Bayesian joint model , Repeated PSA and biopsy results , Gleason score ≥3 + 4 at radical prostatectomy , AUC = 0.74 (95%CI: 0.66–0.80) , None.

    Techniques: Biomarker Discovery