Identification of individualized feature combinations for survival prediction in breast cancer: A comparison of machine learning techniques

Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics)

Volumn 6023 LNCS, Issue , 2010, Pages 110-121

  Vanneschi, Leonardo ^a   Farinaccio, Antonella ^a   Giacobini, Mario ^b   Mauri, Giancarlo ^a   Antoniotti, Marco ^a   Provero, Paolo ^b  

^a UNIVERSITY OF MILANO BICOCCA   (Italy)

^b UNIVERSITY OF TURIN   (Italy)

Author keywords

[No Author keywords available]

Indexed keywords

BIOINFORMATICS; CLASSIFICATION (OF INFORMATION); DATA MINING; DECISION TREES; DISEASES; FORECASTING; GENE EXPRESSION; GENETIC ALGORITHMS; GENETIC PROGRAMMING; MULTILAYER NEURAL NETWORKS; PATHOLOGY; PREDICTIVE ANALYTICS; SUPPORT VECTOR MACHINES;

AUTOMATIC FEATURE SELECTION; FEATURE COMBINATION; GENE EXPRESSION DATA; GENE EXPRESSION SIGNATURES; MACHINE LEARNING TECHNIQUES; MULTI-LAYERED PERCEPTRON; PROGRAMMING SOLUTIONS; SURVIVAL PREDICTION;

LEARNING SYSTEMS;

EID: 77952302242     PISSN: 03029743     EISSN: 16113349     Source Type: Book Series    
DOI: 10.1007/978-3-642-12211-8_10     Document Type: Conference Paper

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