Predictive modeling of colorectal cancer using a dedicated pre-processing pipeline on routine electronic medical records

Reinier Kop; Mark Hoogendoorn; Annette ten Teije; Frederike L. Buchner; Pauline Slottje; Leon M. G. Moons; Mattijs E. Numans

doi:10.1016/j.compbiomed.2016.06.019

Predictive modeling of colorectal cancer using a dedicated pre-processing pipeline on routine electronic medical records

Reinier Kop
, Mark Hoogendoorn
, Annette ten Teije
, Frederike L. Buchner
, Pauline Slottje
, Leon M. G. Moons
, Mattijs E. Numans

Research output: Contribution to journal › Article › Academic › peer-review

Original language	English
Pages (from-to)	30-38
Journal	Computers in biology and medicine
Volume	76
DOIs	https://doi.org/10.1016/j.compbiomed.2016.06.019
Publication status	Published - 1 Sept 2016

UN SDGs

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

SDG 3 Good Health and Well-being

Keywords

Colorectal cancer
Data mining
Data processing
Electronic medical records
Machine learning

Access to Document

10.1016/j.compbiomed.2016.06.019

General Practice Database – Amsterdam, North-Holland, Almere (GPD-ANHA)
Vijfschagt, N. (Coordinator), Gassama, A. (Data Steward), Kanning, J. (Data Scientist), Yordanov, T. (Data Scientist), Joosten, J. H. K. (Data Manager) & Nouhuys, F. (Data Manager)
General Practice
Facility/equipment: Facility

Cite this

@article{43d1582f21114c50ad7d12c3c4f4df8e,

title = "Predictive modeling of colorectal cancer using a dedicated pre-processing pipeline on routine electronic medical records",

keywords = "Colorectal cancer, Data mining, Data processing, Electronic medical records, Machine learning",

author = "Reinier Kop and Mark Hoogendoorn and \{ten Teije\}, Annette and Buchner, \{Frederike L.\} and Pauline Slottje and Moons, \{Leon M. G.\} and Numans, \{Mattijs E.\}",

year = "2016",

month = sep,

day = "1",

doi = "10.1016/j.compbiomed.2016.06.019",

language = "English",

volume = "76",

pages = "30--38",

journal = "Computers in biology and medicine",

issn = "0010-4825",

publisher = "Elsevier Limited",

}

TY - JOUR

T1 - Predictive modeling of colorectal cancer using a dedicated pre-processing pipeline on routine electronic medical records

AU - Kop, Reinier

AU - Hoogendoorn, Mark

AU - ten Teije, Annette

AU - Buchner, Frederike L.

AU - Slottje, Pauline

AU - Moons, Leon M. G.

AU - Numans, Mattijs E.

PY - 2016/9/1

Y1 - 2016/9/1

KW - Colorectal cancer

KW - Data mining

KW - Data processing

KW - Electronic medical records

KW - Machine learning

U2 - 10.1016/j.compbiomed.2016.06.019

DO - 10.1016/j.compbiomed.2016.06.019

M3 - Article

C2 - 27392227

SN - 0010-4825

VL - 76

SP - 30

EP - 38

JO - Computers in biology and medicine

JF - Computers in biology and medicine

ER -

Predictive modeling of colorectal cancer using a dedicated pre-processing pipeline on routine electronic medical records

UN SDGs

Keywords

Access to Document

Cohorts

General Practice Database – Amsterdam, North-Holland, Almere (GPD-ANHA)

Cite this