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Bayesian classifiers

Impact on place of death in cancer patients: a causal exploration in southern Switzerland

Background: Most terminally ill cancer patients prefer to die at home, but a majority die in institutional settings. Research questions about this discrepancy have not been fully answered. This study applies artificial intelligence and machine learning techniques to explore the complex network of factors and the cause-effect relationships affecting the place of death, with the ultimate aim of developing policies favouring home-based end-of-life care.

Mon, 04/05/2021 - 15:16