Data mining models for predicting oral cancer survivability

Network Modeling and Analysis in Health Informatics and Bioinformatics

Volumn 2, Issue 4, 2013, Pages 285-295

  Sharma, Neha ^a   Om, Hari ^b  

^a UNIVERSITY OF PUNE   (India)

^b INDIAN SCHOOL OF MINES   (India)

Author keywords

Classification; Data mining; Decision tree forest; Early detection; Oral cancer; Prevention; Single tree; TreeBoost

Indexed keywords

CLASSIFICATION (OF INFORMATION); DECISION TREES; DISEASES; FORECASTING; FORESTRY;

CLASSIFICATION ANALYSIS; CLASSIFICATION MODELS; ORAL CANCER; ORAL CANCER PATIENTS; PREVENTION; SENSITIVITY AND SPECIFICITY; SINGLE TREE; TREEBOOST;

DATA MINING;

ARTICLE; ARTIFICIAL NEURAL NETWORK; CANCER SURVIVAL; CLUSTER ANALYSIS; COMPUTER PREDICTION; DATA ANALYSIS SOFTWARE; DATA MINING; DECISION TREE; DECISION TREE FOREST MODEL; DISCRIMINANT ANALYSIS; GENE EXPRESSION; HUMAN; MATHEMATICAL MODEL; MEDICAL INFORMATICS; MOUTH CANCER; PREDICTOR VARIABLE; PRIORITY JOURNAL; PROBABILITY; SENSITIVITY AND SPECIFICITY; SUPPORT VECTOR MACHINE; SURVIVAL PREDICTION; TREEBOOST MODEL;

EID: 84934282510     PISSN: None     EISSN: 21926670     Source Type: Journal    
DOI: 10.1007/s13721-013-0045-7     Document Type: Article

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