Development of integrated data and prediction system platform for the localized prostate cancer

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

Research output: Chapter in Book/Report/Conference proceedingConference contribution

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 languageEnglish
Title of host publicationMEDINFO 2019
Subtitle of host publicationHealth and Wellbeing e-Networks for All - Proceedings of the 17th World Congress on Medical and Health Informatics
EditorsBrigitte Seroussi, Lucila Ohno-Machado, Lucila Ohno-Machado, Brigitte Seroussi
PublisherIOS Press
Pages1506-1507
Number of pages2
ISBN (Electronic)9781643680026
DOIs
Publication statusPublished - 2019 Aug 21
Event17th World Congress on Medical and Health Informatics, MEDINFO 2019 - Lyon, France
Duration: 2019 Aug 252019 Aug 30

Publication series

NameStudies in Health Technology and Informatics
Volume264
ISSN (Print)0926-9630
ISSN (Electronic)1879-8365

Conference

Conference17th World Congress on Medical and Health Informatics, MEDINFO 2019
CountryFrance
CityLyon
Period19/8/2519/8/30

Bibliographical note

Funding Information:
This work was supported by the National Research Foundation of Korea (NRF) grant funded by the Korean Government (MSIP,2016R1A2B4015922)

All Science Journal Classification (ASJC) codes

  • Biomedical Engineering
  • Health Informatics
  • Health Information Management

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