Bayesian networks in ovarian cancer diagnosis: potentials and limitations
By P. Antal, Herman Verrelst, Dirk Timmerman, S. Van Huffel, B. De Moor, I. Vergote. 2000
34 citations recorded by the source corpus.
Subfields: Artificial Intelligence, Molecular Biology
How researchers see this paper
The researchers whose trusted networks rank it highest, strongest advocate first. Every researcher gets a different order.
In Artificial Intelligence
In Molecular Biology
Citations in the corpus
- Black-Box vs. White-Box: Understanding Their Advantages and Weaknesses From a Practical Point of View (2019, background): “problems, such as diagnosis of Alzheimer’s disease [76], fault location on distribution feeder [77], human cognition [78], educational testing [79], analysis of resistance pathways against HIV-1 protease inhibitors [80], ovarian cancer diagnosis [81], fault diagnostic system for proton exchange memb”