Construction of a Bayesian network for mammographic diagnosis of breast cancer

By Charles E. Kahn Jr., L. Roberts, K. Shaffer, Peter Haddawy. 1997

How researchers see this paper

The researchers whose trusted networks rank it highest, strongest advocate first. Every researcher gets a different order.

1. Carey E. Floyd
2. G. Tourassi
3. Joseph Y. Lo

Citations in the corpus

• A review of Bayesian belief networks in ecosystem service modelling (2013, unknown): “BBNs are currently popular tools in environmental modelling, medical diagnoses, classification problems and machine learning (Aguilera et al., 2011; Fernandez and Salmeron, 2008; Walton and Meidinger, 2006; Kahn et al., 1997).”
• Case-based reasoning computer algorithm that uses mammographic findings for breast biopsy decisions. (2000, background): “Other researchers, including those who proposed rule-based systems [13], artificial neural network approaches [6, 14, 15], and, recently, Bayesian networks [ 16 ], have worked on this problem.”