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

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

Original language	English
Pages (from-to)	133-142
Journal	LECTURE NOTES IN COMPUTER SCIENCE
Volume	9105
Publication status	Published - 2015
Event	15th Artificial Intelligence in Medicine (AIME 2015) - Duration: 1 Jan 2015 → …

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@article{ea13a4d7bbf140cc83366f5aadeda931,

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.",

year = "2015",

language = "English",

volume = "9105",

pages = "133--142",

journal = "LECTURE NOTES IN COMPUTER SCIENCE",

publisher = "Springer Verlag",

note = "15th Artificial Intelligence in Medicine (AIME 2015) ; Conference date: 01-01-2015",

}

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.

PY - 2015

Y1 - 2015

M3 - Article

VL - 9105

SP - 133

EP - 142

JO - LECTURE NOTES IN COMPUTER SCIENCE

JF - LECTURE NOTES IN COMPUTER SCIENCE

T2 - 15th Artificial Intelligence in Medicine (AIME 2015)

Y2 - 1 January 2015

ER -