A Bayesian derived network of breast pathology co-occurrence

Journal of Biomedical Informatics

Volumn 41, Issue 2, 2008, Pages 242-250

  Maskery, Susan M ^a   Hu, Hai ^a   Hooke, Jeffrey ^b   Shriver, Craig D ^b   Liebman, Michael N ^a  

^a WINDBER RESEARCH INSTITUTE   (United States)

^b WALTER REED ARMY MEDICAL CENTER   (United States)

Author keywords

Bayesian analysis; Breast diseases; Breast neoplasms; Histopathology

Indexed keywords

BAYESIAN NETWORKS; ENGINEERING RESEARCH; LEARNING SYSTEMS; ONCOLOGY; RANDOM PROCESSES;

BREAST DISEASES; BREAST NEOPLASMS; HISTOPATHOLOGY;

PATHOLOGY;

ARTICLE; BAYES THEOREM; BREAST CANCER; BREAST DISEASE; BREAST HYPERPLASIA; BREAST PAPILLOMA; CANCER DIAGNOSIS; CARCINOMA IN SITU; DATA BASE; INTRADUCTAL CARCINOMA; MACHINE LEARNING; MEDICAL LITERATURE; PATHOLOGY; PRIORITY JOURNAL; PUBLICATION;

ALGORITHMS; ARTIFICIAL INTELLIGENCE; BAYES THEOREM; BREAST NEOPLASMS; DIAGNOSIS, COMPUTER-ASSISTED; FEMALE; HUMANS; PATTERN RECOGNITION, AUTOMATED; REPRODUCIBILITY OF RESULTS; SENSITIVITY AND SPECIFICITY;

EID: 40049100020     PISSN: 15320464     EISSN: None     Source Type: Journal    
DOI: 10.1016/j.jbi.2007.12.005     Document Type: Article

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