Cargando…

Development of prostate cancer research database with the clinical data warehouse technology for direct linkage with electronic medical record system

PURPOSE: In spite of increased prostate cancer patients, little is known about the impact of treatments for prostate cancer patients and outcome of different treatments based on nationwide data. In order to obtain more comprehensive information for Korean prostate cancer patients, many professionals...

Descripción completa

Detalles Bibliográficos
Autores principales:	Choi, In Young, Park, Seungho, Park, Bumjoon, Chung, Byung Ha, Kim, Choung-Soo, Lee, Hyun Moo, Byun, Seok-Soo, Lee, Ji Youl
Formato:	Online Artículo Texto
Lenguaje:	English
Publicado:	Asian Pacific Prostate Society (APPS) 2013
Materias:	Original Article
Acceso en línea:	https://www.ncbi.nlm.nih.gov/pmc/articles/PMC3814112/ https://www.ncbi.nlm.nih.gov/pubmed/24223403 http://dx.doi.org/10.12954/PI.12015

Ejemplares similares

Is lymphovascular invasion a powerful predictor for biochemical recurrence in pT3 N0 prostate cancer? Results from the K-CaP database
por: Park, Yong Hyun, et al.
Publicado: (2016)

The Establishment of K-CaP (the Multicenter Korean Prostate Cancer Database)
por: Lee, Dong Hoon, et al.
Publicado: (2013)

BioWarehouse: a bioinformatics database warehouse toolkit
por: Lee, Thomas J, et al.
Publicado: (2006)

Re-stratification of Patients with High-Risk Prostate Cancer According to the NCCN Guidelines among Patients Who Underwent Radical Prostatectomy: An Analysis Based on the K-CaP Registry
por: Lee, Kwang Suk, et al.
Publicado: (2018)

Effects of age and comorbidity on survival vary according to risk grouping among patients with prostate cancer treated using radical prostatectomy: A retrospective competing-risk analysis from the K-CaP registry
por: Hah, Yoon Soo, et al.
Publicado: (2018)

Stratification based on adverse laboratory/pathological features for predicting overall survival in patients undergoing radical prostatectomy: A K-CaP registry-based analysis
por: Park, Jee Soo, et al.
Publicado: (2019)

A Deep Belief Network and Dempster-Shafer-Based Multiclassifier for the Pathology Stage of Prostate Cancer
por: Kim, Jae Kwon, et al.
Publicado: (2018)

Linking Biomedical Data Warehouse Records With the National Mortality Database in France: Large-scale Matching Algorithm
por: Guardiolle, Vianney, et al.
Publicado: (2022)

Characteristics Desired in Clinical Data Warehouse for Biomedical Research
por: Shin, Soo-Yong, et al.
Publicado: (2014)

The Dutch Data Warehouse, a multicenter and full-admission electronic health records database for critically ill COVID-19 patients
por: Fleuren, Lucas M., et al.
Publicado: (2021)

Analysis of Relationship between Levofloxacin and Corrected QT Prolongation Using a Clinical Data Warehouse
por: Park, Man Young, et al.
Publicado: (2011)

Research data warehouse: using electronic health records to conduct population-based observational studies
por: Chen, Wansu, et al.
Publicado: (2023)

Dr. Answer AI for prostate cancer: Intention to use, expected effects, performance, and concerns of urologists
por: Rho, Mi Jung, et al.
Publicado: (2022)

Combining information from a clinical data warehouse and a pharmaceutical database to generate a framework to detect comorbidities in electronic health records
por: Sylvestre, Emmanuelle, et al.
Publicado: (2018)

Elective pelvic irradiation in prostate cancer patients with biochemical failure following radical prostatectomy: A propensity score matching analysis
por: Song, Changhoon, et al.
Publicado: (2019)

Prostate cancer trajectory-map: clinical decision support system for prognosis management of radical prostatectomy
por: Park, Jihwan, et al.
Publicado: (2021)

Efficacy and safety of degarelix in Korean patients with prostate cancer requiring androgen deprivation therapy: Open-label multicenter phase III study
por: You, Dalsan, et al.
Publicado: (2015)

Geminivirus data warehouse: a database enriched with machine learning approaches
por: Silva, Jose Cleydson F., et al.
Publicado: (2017)

The PREVAIL trial of enzalutamide in men with chemotherapy-naïve, metastatic castration-resistant prostate cancer: Post hoc analysis of Korean patients
por: Kim, Choung-Soo, et al.
Publicado: (2016)

Epidemiology of prostate cancer in South Korea
por: Han, Hyun Ho, et al.
Publicado: (2015)

Dr. Answer AI for prostate cancer: Clinical outcome prediction model and service
por: Rho, Mi Jung, et al.
Publicado: (2020)

Image-guided, whole-pelvic, intensity-modulated radiotherapy for biochemical recurrence following radical prostatectomy in high-risk prostate cancer patients
por: Byun, Sang Jun, et al.
Publicado: (2018)

Dr. Answer AI for Prostate Cancer: Predicting Biochemical Recurrence Following Radical Prostatectomy
por: Park, Jihwan, et al.
Publicado: (2021)

Prostate cancer detection rate in patients with fluctuating prostate-specific antigen levels on the repeat prostate biopsy
por: Park, Yong Hyun, et al.
Publicado: (2014)

Is High-Dose Leuprorelin Acetate Effective and Safe in Asian Men with Prostate Cancer? An Open-Label, Non-Comparative, Multi-Center Clinical Trial
por: Lee, Seung-Hwan, et al.
Publicado: (2014)

MaizeMine: A Data Mining Warehouse for the Maize Genetics and Genomics Database
por: Shamimuzzaman, Md, et al.
Publicado: (2020)

Building the data warehouse /
por: Inmon, William H.
Publicado: (1996)

Building the data warehouse
por: Inmon, W.H
Publicado: (2002)

Building the data warehouse
por: Inmon, William H
Publicado: (2005)

Automation in Warehouse Development
por: Hamberg, Roelof, et al.
Publicado: (2012)

Data Warehouse Designs
por: Silvers, Fon
Publicado: (2011)

Is Prostate-Specific Antigen Effective for Population Screening of Prostate Cancer? A Systematic Review
por: Lee, Yoon Jae, et al.
Publicado: (2013)

Architecture and Implementation of a Clinical Research Data Warehouse for Prostate Cancer
por: Seneviratne, Martin G., et al.
Publicado: (2018)

Prostate International, an international academic forum on prostate diseases
por: Kim, Choung-Soo
Publicado: (2013)

Leveraging electronic medical records for HIV testing, care, and treatment programming in Kenya—the national data warehouse project
por: Ndisha, Margaret, et al.
Publicado: (2023)

Data warehouse: practical advice from the experts /
por: Bischoff, Joyce, 1938-
Publicado: (1997)

COVID-WAREHOUSE: A Data Warehouse of Italian COVID-19, Pollution, and Climate Data
por: Agapito, Giuseppe, et al.
Publicado: (2020)

The association of family history of prostate cancer with the diagnosis of clinically significant prostate cancer in Korean population
por: Park, Jee Soo, et al.
Publicado: (2019)

Nomograms for the Prediction of Pathologic Stage of Clinically Localized Prostate Cancer in Korean Men
por: Song, Cheryn, et al.
Publicado: (2005)

Establishment of Prospective Registry of Active Surveillance for Prostate Cancer: The Korean Urological Oncology Society Database
por: Jung, Gyoohwan, et al.
Publicado: (2023)

Cannot write session to /tmp/vufind_sessions/sess_4rvc9o2agpbm9kko9n6r6pohsn