Abstract
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.
Original language | English |
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Title of host publication | MEDINFO 2019 |
Subtitle of host publication | Health and Wellbeing e-Networks for All - Proceedings of the 17th World Congress on Medical and Health Informatics |
Editors | Brigitte Seroussi, Lucila Ohno-Machado, Lucila Ohno-Machado, Brigitte Seroussi |
Publisher | IOS Press |
Pages | 1506-1507 |
Number of pages | 2 |
ISBN (Electronic) | 9781643680026 |
DOIs | |
State | Published - 21 Aug 2019 |
Event | 17th World Congress on Medical and Health Informatics, MEDINFO 2019 - Lyon, France Duration: 25 Aug 2019 → 30 Aug 2019 |
Publication series
Name | Studies in Health Technology and Informatics |
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Volume | 264 |
ISSN (Print) | 0926-9630 |
ISSN (Electronic) | 1879-8365 |
Conference
Conference | 17th World Congress on Medical and Health Informatics, MEDINFO 2019 |
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Country/Territory | France |
City | Lyon |
Period | 25/08/19 → 30/08/19 |
Bibliographical note
Publisher Copyright:© 2019 International Medical Informatics Association (IMIA) and IOS Press. This article is published online with Open Access by IOS Press and distributed under the terms of the Creative Commons Attribution Non-Commercial License 4.0 (CC BY-NC 4.0).
Keywords
- Biochemical Recurrence Prediction
- Database Management Systems
- Prostatic Neoplasms