Towards an accurate cancer diagnosis modelization: Comparison of Random Forest strategies

Debit, Ahmed; Poulet, Christophe

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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 :

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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