Using a Bayesian network to predict the probability and type of breast cancer represented by microcalcifications on mammography

Studies in Health Technology and Informatics

Volumn 107, Issue , 2004, Pages 13-17

  Burnside, Elizabeth S ^a   Rubin, Daniel L ^b   Shachter, Ross D ^c  

^a UNIVERSITY OF WISCONSIN SCHOOL OF MEDICINE AND PUBLIC HEALTH   (United States)

^b STANFORD UNIVERSITY   (United States)

^c Stanford University   (United States)

Author keywords

Bayesian analysis; Expert system; mammography

Indexed keywords

BAYESIAN NETWORKS; BIOPSY; DISEASES; EXPERT SYSTEMS; FORECASTING; MAMMOGRAPHY; SURGERY;

BAYESIAN ANALYSIS; BREAST BIOPSIES; BREAST CANCER; CURRENT PRACTICES; MAMMOGRAPHIC; MICROCALCIFICATIONS; POSITIVE PREDICTIVE VALUES; SURGICAL THERAPY; BAYESIA N NETWORKS; IMAGE-GUIDED; MAMMOGRAPHY SCREENING; MICRO-CALCIFICATION[MC];

CALCIFICATION (BIOCHEMISTRY); EXPERT SYSTEMS;

EID: 63349097174     PISSN: 09269630     EISSN: 18798365     Source Type: Book Series    
DOI: 10.3233/978-1-60750-949-3-13     Document Type: Article

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