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Towards an accurate cancer diagnosis modelization: Comparison of Random Forest strategies
Debit, Ahmed
;
Poulet, Christophe
2018
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https://hdl.handle.net/2268/232014
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Keywords :
Random Forest Classification methods; Cancer; Diagnosis
Research Center/Unit :
GIGA‐R - Giga‐Research - ULiège
Disciplines :
Engineering, computing & technology: Multidisciplinary, general & others
Author, co-author :
Debit, Ahmed
;
Université de Liège - ULiège > Cancer-Human Genetics
Poulet, Christophe
;
Université de Liège - ULiège > Cancer-Human Genetics
Language :
English
Title :
Towards an accurate cancer diagnosis modelization: Comparison of Random Forest strategies
Publication date :
30 November 2018
Number of pages :
60
Event name :
GIGA-Cancer Seminars
Event organizer :
GIGA-Cancer
Event place :
Liege, Belgium
Event date :
30-11-2018
Name of the research project :
wallInov NACATS
Funders :
Région wallonne: R.RWAL.1218-J-P-A
Available on ORBi :
since 21 January 2019
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