Abstract
Pathologist needs to routinely make management decisions about patients who are at risk for a disease such as cancer. Although, making a decision for cancer diagnosis is a dificult task since it context dependent. The term context contains a large number of elements that limits strongly any possibility to automatize this. The decision-making the process being highly contextual, the decision support system must benefit from its interaction with the expert to learn new practices by acquiring missing knowledge incrementally and learning new practices, it is called in deferent research human/doctor in the loop, and thus enriching its experience base.
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Sbissi, S., Gattoufi, S. (2017). Contextual Decision Making for Cancer Diagnosis. In: Bursa, M., Holzinger, A., Renda, M., Khuri, S. (eds) Information Technology in Bio- and Medical Informatics. ITBAM 2017. Lecture Notes in Computer Science(), vol 10443. Springer, Cham. https://doi.org/10.1007/978-3-319-64265-9_5
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