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

doi:10.3233/SHTI190507

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

The Catholic University of Korea
Pohang University of Science and Technology
University of Ulsan
Sungkyunkwan University
Seoul National University
Yonsei University

Research output: Chapter in Book/Report/Conference proceeding › Conference contribution › peer-review

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
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	https://doi.org/10.3233/SHTI190507
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
Volume	264
ISSN (Print)	0926-9630
ISSN (Electronic)	1879-8365

Conference

Conference	17th World Congress on Medical and Health Informatics, MEDINFO 2019
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).

UN SDGs

This output contributes to the following UN Sustainable Development Goals (SDGs)

SDG 3 Good Health and Well-being

Keywords

Biochemical Recurrence Prediction
Database Management Systems
Prostatic Neoplasms

Access to Document

10.3233/SHTI190507

Cite this

Lee, S. J., Yu, S. H., Kim, Y., Hong, J. H., Kim, C. S., Seo, S. I., Jeong, C. W., Byun, S. S., Chung, B. H., Lee, J. Y., & Choi, I. Y. (2019). Development of integrated data and prediction system platform for the localized prostate cancer. In B. Seroussi, L. Ohno-Machado, L. Ohno-Machado, & B. Seroussi (Eds.), MEDINFO 2019: Health and Wellbeing e-Networks for All - Proceedings of the 17th World Congress on Medical and Health Informatics (pp. 1506-1507). (Studies in Health Technology and Informatics; Vol. 264). IOS Press. https://doi.org/10.3233/SHTI190507

Lee, Sun Jung ; Yu, Sung Hye ; Kim, Yejin et al. / Development of integrated data and prediction system platform for the localized prostate cancer. MEDINFO 2019: Health and Wellbeing e-Networks for All - Proceedings of the 17th World Congress on Medical and Health Informatics. editor / Brigitte Seroussi ; Lucila Ohno-Machado ; Lucila Ohno-Machado ; Brigitte Seroussi. IOS Press, 2019. pp. 1506-1507 (Studies in Health Technology and Informatics).

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title = "Development of integrated data and prediction system platform for the localized prostate cancer",

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.",

keywords = "Biochemical Recurrence Prediction, Database Management Systems, Prostatic Neoplasms",

author = "Lee, \{Sun Jung\} and Yu, \{Sung Hye\} and Yejin Kim and Hong, \{Jun Hyuk\} and Kim, \{Choung Soo\} and Seo, \{Seong Il\} and Jeong, \{Chang Wook\} and Byun, \{Seok Soo\} and Chung, \{Byung Ha\} and Lee, \{Ji Youl\} and Choi, \{In Young\}",

note = "Publisher Copyright: {\textcopyright} 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).; 17th World Congress on Medical and Health Informatics, MEDINFO 2019 ; Conference date: 25-08-2019 Through 30-08-2019",

year = "2019",

month = aug,

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doi = "10.3233/SHTI190507",

language = "English",

series = "Studies in Health Technology and Informatics",

publisher = "IOS Press",

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}

Lee, SJ, Yu, SH, Kim, Y, Hong, JH, Kim, CS, Seo, SI, Jeong, CW, Byun, SS, Chung, BH, Lee, JY & Choi, IY 2019, Development of integrated data and prediction system platform for the localized prostate cancer. in B Seroussi, L Ohno-Machado, L Ohno-Machado & B Seroussi (eds), MEDINFO 2019: Health and Wellbeing e-Networks for All - Proceedings of the 17th World Congress on Medical and Health Informatics. Studies in Health Technology and Informatics, vol. 264, IOS Press, pp. 1506-1507, 17th World Congress on Medical and Health Informatics, MEDINFO 2019, Lyon, France, 25/08/19. https://doi.org/10.3233/SHTI190507

Development of integrated data and prediction system platform for the localized prostate cancer. / Lee, Sun Jung; Yu, Sung Hye; Kim, Yejin et al.
MEDINFO 2019: Health and Wellbeing e-Networks for All - Proceedings of the 17th World Congress on Medical and Health Informatics. ed. / Brigitte Seroussi; Lucila Ohno-Machado; Lucila Ohno-Machado; Brigitte Seroussi. IOS Press, 2019. p. 1506-1507 (Studies in Health Technology and Informatics; Vol. 264).

Research output: Chapter in Book/Report/Conference proceeding › Conference contribution › peer-review

TY - GEN

T1 - Development of integrated data and prediction system platform for the localized prostate cancer

AU - Lee, Sun Jung

AU - Yu, Sung Hye

AU - Kim, Yejin

AU - Hong, Jun Hyuk

AU - Kim, Choung Soo

AU - Seo, Seong Il

AU - Jeong, Chang Wook

AU - Byun, Seok Soo

AU - Chung, Byung Ha

AU - Lee, Ji Youl

AU - Choi, In Young

N1 - 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).

PY - 2019/8/21

Y1 - 2019/8/21

N2 - 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.

AB - 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.

KW - Biochemical Recurrence Prediction

KW - Database Management Systems

KW - Prostatic Neoplasms

UR - https://www.scopus.com/pages/publications/85071496954

U2 - 10.3233/SHTI190507

DO - 10.3233/SHTI190507

M3 - Conference contribution

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AN - SCOPUS:85071496954

T3 - Studies in Health Technology and Informatics

SP - 1506

EP - 1507

BT - MEDINFO 2019

A2 - Seroussi, Brigitte

A2 - Ohno-Machado, Lucila

A2 - Seroussi, Brigitte

PB - IOS Press

T2 - 17th World Congress on Medical and Health Informatics, MEDINFO 2019

Y2 - 25 August 2019 through 30 August 2019

ER -

Lee SJ, Yu SH, Kim Y, Hong JH, Kim CS, Seo SI et al. Development of integrated data and prediction system platform for the localized prostate cancer. In Seroussi B, Ohno-Machado L, Ohno-Machado L, Seroussi B, editors, MEDINFO 2019: Health and Wellbeing e-Networks for All - Proceedings of the 17th World Congress on Medical and Health Informatics. IOS Press. 2019. p. 1506-1507. (Studies in Health Technology and Informatics). doi: 10.3233/SHTI190507

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

Abstract

Publication series

Conference

Bibliographical note

UN SDGs

Keywords

Access to Document

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