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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/product/dynamic+bayesian+joint+model/pmc10145015-15-24-0?v=Johns+Hopkins+HealthCare
Average 90 stars, based on 1 article reviews
dynamic bayesian joint model - by Bioz Stars, 2026-07
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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