Charles E. Kahn, Jr., Linda M. Roberts, Kun Wang, Deb Jenks, and Peter Haddawy. Preliminary investigation of a Bayesian network for Mammographic diagnosis of breast cancer. In Proceedings of SCAMC95, October 1995. Home/Search Document Details and Download
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Reasoning Requirements for Diagnosis of Heart Disease - William Long (1997) (1 citation) (Correct)
....causal probabilities directly. 2 Bayesian probability networks For diagnosis in domains with causal knowledge, the current dominant methodology is Bayesian probability networks (BPN) Examples include MUNIN[11] for electromyographic interpretation, to recent programs on breast cancer diagnosis[12]. A BPN program that has achieved some com 4 mercial success is Intellipath, for pathology diagnosis[13, 14] Several years of research on BPNs has provided sound mathematical underpinnings and efficient algorithms for answering the most common diagnostic questions. The primary advantage of a ....
C. Kahn, L.M. Roberts, K. Wang, D. Jenks, and P. Haddawy, Preliminary Investigation of a Bayesian Network for Mammographic Diagnosis of Breast Cancer, Am. Med. Informatics Assoc. Conf. (1995) 208-212.
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Kahn CE Jr, Roberts LM, Wang K, et al: Preliminary investigation of a Bayesian network for mammographic diagnosis of breast cancer. In Proceedings of the 19th Annual Symposium on Computer Applications in Medical Care, Philadelphia, Hanley & Belfus, 1995, p (in press)
A Roadmap to Research on Bayesian Networks and other.. - Chrisman (1998) (2 citations) (Correct)
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Charles E. Kahn, Jr., Linda M. Roberts, Kun Wang, Deb Jenks, and Peter Haddawy. Preliminary investigation of a Bayesian network for Mammographic diagnosis of breast cancer. In Proceedings of SCAMC95, October 1995.
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