Evaluation of the sensitivity of a medical data-mining application to the number of elements in small databases

Biomedical Signal Processing and Control

Volumn 4, Issue 3, 2009, Pages 262-268

  Smith, M R ^a   Wang, X ^b   Rangayyan, R M ^a  

^a UNIVERSITY OF CALGARY   (Canada)

^b SOUTHLAKE REGIONAL HEALTH CENTRE   (Canada)

Author keywords

Breast cancer; Efron's bootstrap method; Mammographic masses; Medical data mining application; Sensitivity evaluation

Indexed keywords

CLASSIFICATION (OF INFORMATION); DATABASE SYSTEMS; DECISION MAKING; LARGE DATASET; MAMMOGRAPHY; MEDICAL COMPUTING;

BOOTSTRAP METHOD; BREAST CANCER; MAMMOGRAPHIC MASS; MEDICAL DATA MINING; SENSITIVITY EVALUATION;

DATA MINING;

ALGORITHM; ARTICLE; BOOTSTRAPPING; BREAST BIOPSY; BREAST TUMOR; DATA BASE; DATA MINING; INFORMATION PROCESSING; MAMMOGRAPHY; PRIORITY JOURNAL; SENSITIVITY ANALYSIS; TUMOR CLASSIFICATION;

EID: 67650214852     PISSN: 17468094     EISSN: None     Source Type: Journal    
DOI: 10.1016/j.bspc.2009.04.001     Document Type: Article

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