Using a Bayesian Network to Predict the Probability and Type of Breast Cancer Represented by Microcalcifications on Mammography

Elizabeth S. Burnside, Daniel L. Rubin, Ross D. Shachter. Using a Bayesian Network to Predict the Probability and Type of Breast Cancer Represented by Microcalcifications on Mammography. In Marius Fieschi, Enrico W. Coiera, Jack Yu-Chan Li, editors, MEDINFO 2004 - Proceedings of the 11th World Congress on Medical Informatics, San Francisco, California, USA, September 7-11, 2004. Volume 107 of Studies in Health Technology and Informatics, pages 13-17, IOS Press, 2004. [doi]

Authors

Elizabeth S. Burnside

This author has not been identified. Look up 'Elizabeth S. Burnside' in Google

Daniel L. Rubin

This author has not been identified. Look up 'Daniel L. Rubin' in Google

Ross D. Shachter

This author has not been identified. Look up 'Ross D. Shachter' in Google