Development of Integrated Data and Prediction System Platform for the Localized Prostate Cancer...MEDINFO 2019, the 17th World Congress on Medical and Health Informatics, August 25-30, 2019, Lyon, France.

In this study, we built a multi-center integrated database platform of localized prostate cancer and developed biochemical recurrence (BCR) prediction system with Gradient Boosted Regression model using Korean Prostate Cancer Registry (KPCR) database. This platform will facilitate clinical managemen...

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Bibliographic Details
Published in:	Studies in Health Technology & Informatics Vol. 264; pp. 1506 - 1508
Main Authors:	Sun Jung Lee, Sung Hye Yu, Yejin Kim, Jun Hyuk Hong, Choung-Soo Kim, Seong Il Seo, Chang Wook Jeong, Seok-Soo Byun, Byung Ha Chung, Ji Youl Lee, In Young Choi
Format:	proceedings research tables/charts Journal Article
Published:	Sage Publications Inc. 2019
Online Access:	View this record in EBSCOhost

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Summary:	In this study, we built a multi-center integrated database platform of localized prostate cancer and developed biochemical recurrence (BCR) prediction system with Gradient Boosted Regression model using Korean Prostate Cancer Registry (KPCR) database. This platform will facilitate clinical management of patients with prostate cancer, and it will also help develop appropriate treatment of prostate cancer.