Toward breast cancer survivability prediction models through improving training space

Expert Systems with Applications

Volumn 36, Issue 10, 2009, Pages 12200-12209

  Thongkam, Jaree ^a   Xu, Guandong ^a   Zhang, Yanchun ^a   Huang, Fuchun ^a  

^a VICTORIA UNIVERSITY   (Australia)

Author keywords

Breast cancer survivability prediction models; Data mining; Outliers; Over sampling

Indexed keywords

10-FOLD CROSS-VALIDATION; BIAS AND VARIANCE; BREAST CANCER; BREAST CANCER SURVIVABILITY PREDICTION MODELS; F-MEASURE; HYBRID APPROACH; MEASUREMENT METHODS; MEDICAL RESEARCH; OUTLIERS; OVER-SAMPLING; PREDICTION MODEL; QUALITY DATA; RECEIVER OPERATING CHARACTERISTIC CURVES; SKEWED DATA; SUPPORT VECTOR CLASSIFICATION; SURVIVAL PREDICTION; TRAINING DATA;

MATHEMATICAL MODELS; MINING;

MEDICAL COMPUTING;

EID: 69249220244     PISSN: 09574174     EISSN: None     Source Type: Journal    
DOI: 10.1016/j.eswa.2009.04.067     Document Type: Article

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