Oral cancer prognosis based on clinicopathologic and genomic markers using a hybrid of feature selection and machine learning methods

BMC Bioinformatics

Volumn 14, Issue 1, 2013, Pages

  Chang, Siow Wee ^a   Abdul Kareem, Sameem ^a   Merican, Amir Feisal ^a   Zain, Rosnah Binti ^a  

^a UNIVERSITY OF MALAYA   (Malaysia)

Author keywords

Clinicopathologic; Feature selection; Genomic; Machine learning; Oral cancer prognosis

Indexed keywords

CLINICOPATHOLOGIC; FEATURE SELECTION METHODS; GENOMIC; K FOLD CROSS VALIDATIONS; MACHINE LEARNING METHODS; MACHINE LEARNING TECHNIQUES; NOISY AND INCOMPLETE DATUM; ORAL CANCER;

DATA PROCESSING; DIAGNOSIS; DISEASES; FEATURE EXTRACTION; GENES; LOGISTICS; NEURAL NETWORKS;

LEARNING SYSTEMS;

TUMOR MARKER;

ADULT; AGED; ARTICLE; ARTIFICIAL INTELLIGENCE; ARTIFICIAL NEURAL NETWORK; BIOLOGICAL MODEL; FEMALE; GENETICS; HUMAN; HUMAN GENOME; MALE; MIDDLE AGED; MOUTH TUMOR; PATHOLOGY; PROGNOSIS; STATISTICAL MODEL; SUPPORT VECTOR MACHINE;

ADULT; AGED; ARTIFICIAL INTELLIGENCE; FEMALE; GENOME, HUMAN; HUMANS; LOGISTIC MODELS; MALE; MIDDLE AGED; MODELS, BIOLOGICAL; MOUTH NEOPLASMS; NEURAL NETWORKS (COMPUTER); PROGNOSIS; SUPPORT VECTOR MACHINES; TUMOR MARKERS, BIOLOGICAL;

EID: 84878374114     PISSN: None     EISSN: 14712105     Source Type: Journal    
DOI: 10.1186/1471-2105-14-170     Document Type: Article

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