dynamic bayesian network model Search Results


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Prediction models for reclassification in active surveillance.
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Prediction models for reclassification in active surveillance.
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Prediction models for reclassification in active surveillance.
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Prediction models for reclassification in active surveillance.
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Prediction models for reclassification in active surveillance.
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Prediction models for reclassification in active surveillance.
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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