Bayesian belief network for the gleason patterns in prostatic adenocarcinoma: Development of a diagnostic decision support system for educational purposes

Analytical and Quantitative Cytology and Histology

Volumn 30, Issue 1, 2008, Pages 8-15

  Montironi, Rodolfo ^a,b   Ball, Richard Yardley ^c,d   Griffiths, David Francis Rees ^e   Grigor, Kenneth ^f   Harnden, Patricia M ^g   Jarmulowicz, Michel ^h   McWilliam, Lorna Jean ^a   Moseley, Robert Peter ^a   Parkinson, Margaret Constance ^a   Santinelli, Alfredo ^a   Moss, Sue Mary ^a   Melia, Jane Westfield ^a  

^a Department of Pathology ^*

^b UNIVERSITÀ POLITECNICA DELLE MARCHE   (Italy)

^c NORFOLK AND NORWICH UNIVERSITY HOSPITAL   (United Kingdom)

^d UNIVERSITY OF EAST ANGLIA   (United Kingdom)

^e CARDIFF UNIVERSITY   (United Kingdom)

^f WESTERN GENERAL HOSPITAL   (United Kingdom)

^g ST JAMES S UNIVERSITY HOSPITAL   (United Kingdom)

^h BOSTWICK LABORATORIES   (United States)

Author keywords

Bayesian belief network; Diagnostic decision support system; Gleason patterns; Gleason system; Grading; Prostate cancer

Indexed keywords

ARTICLE; ARTIFICIAL NEURAL NETWORK; BAYES THEOREM; CANCER GRADING; DECISION SUPPORT SYSTEM; GLEASON SCORE; HUMAN; MEDICAL EDUCATION; PRIORITY JOURNAL; PROSTATE ADENOCARCINOMA; TEACHING;

ADENOCARCINOMA; BAYES THEOREM; DECISION SUPPORT SYSTEMS, CLINICAL; HUMANS; MALE; NEOPLASM STAGING; OBSERVER VARIATION; PATHOLOGY, CLINICAL; PROSTATE; PROSTATIC NEOPLASMS; REPRODUCIBILITY OF RESULTS;

EID: 39749117015     PISSN: 08846812     EISSN: None     Source Type: Journal    
DOI: None     Document Type: Article

References (22)