Enhanced PSA Density Prediction Accuracy When Based on Machine Learning
Author:
Publisher
Springer Science and Business Media LLC
Subject
Biomedical Engineering,General Medicine
Link
https://link.springer.com/content/pdf/10.1007/s40846-023-00793-0.pdf
Reference36 articles.
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3. Yusim, I., Krenawi, M., Mazor, F., et al. (2020). The use of prostate specific antigen density to predict clinically significant prostate cancer. Scientific Reports, 10(1), 20015.
4. Nordström, T., Akre, O., Aly, M., et al. (2018). Prostate-specific antigen (PSA) density in the diagnostic algorithm of prostate cancer. Prostate Cancer and Prostatic Diseases, 21(1), 57–63.
5. Jue, J. S., Barboza, M. P., Prakash, N. S., et al. (2017). Re-examining prostate-specific Antigen (PSA) density: Defining the optimal PSA Range and patients for using PSA Density to predict prostate Cancer using extended Template Biopsy. Urology, 105, 123–128.
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