On the Advantage of Using Dedicated Data Mining Techniques to Predict Colorectal Cancer

R. Kop, M. Hoogendoorn, L.N.G Moons, M.E. Numans, A.C.M. ten Teije

Research output: Contribution to JournalArticleAcademicpeer-review

Bibliographical note

Proceedings title: Proceedings of the 15th Conference on Artificial Intelligence in Medicine (AIME 2015)
Publisher: Springer
Place of publication: Berlin
Editors: J.H. Holmes, R. Bellazzi, L. Sacchi, N. Peek

Cite this

@article{2bbb756cc8d549ae9cf1e78dc13ed97a,
title = "On the Advantage of Using Dedicated Data Mining Techniques to Predict Colorectal Cancer",
author = "R. Kop and M. Hoogendoorn and L.N.G Moons and M.E. Numans and {ten Teije}, A.C.M.",
note = "Proceedings title: Proceedings of the 15th Conference on Artificial Intelligence in Medicine (AIME 2015) Publisher: Springer Place of publication: Berlin Editors: J.H. Holmes, R. Bellazzi, L. Sacchi, N. Peek",
year = "2015",
doi = "10.1007/978-3-319-19551-3_16",
language = "English",
volume = "9105",
pages = "133--142",
journal = "Lecture Notes in Computer Science",
issn = "0302-9743",
publisher = "Springer Verlag",

}

On the Advantage of Using Dedicated Data Mining Techniques to Predict Colorectal Cancer. / Kop, R.; Hoogendoorn, M.; Moons, L.N.G; Numans, M.E.; ten Teije, A.C.M.

In: Lecture Notes in Computer Science, Vol. 9105, 2015, p. 133-142.

Research output: Contribution to JournalArticleAcademicpeer-review

TY - JOUR

T1 - On the Advantage of Using Dedicated Data Mining Techniques to Predict Colorectal Cancer

AU - Kop, R.

AU - Hoogendoorn, M.

AU - Moons, L.N.G

AU - Numans, M.E.

AU - ten Teije, A.C.M.

N1 - Proceedings title: Proceedings of the 15th Conference on Artificial Intelligence in Medicine (AIME 2015) Publisher: Springer Place of publication: Berlin Editors: J.H. Holmes, R. Bellazzi, L. Sacchi, N. Peek

PY - 2015

Y1 - 2015

U2 - 10.1007/978-3-319-19551-3_16

DO - 10.1007/978-3-319-19551-3_16

M3 - Article

VL - 9105

SP - 133

EP - 142

JO - Lecture Notes in Computer Science

T2 - Lecture Notes in Computer Science

JF - Lecture Notes in Computer Science

SN - 0302-9743

ER -