An integrated framework for risk profiling of breast cancer patients following surgery
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摘要
ObjectiveAn integrated decision support framework is proposed for clinical oncologists making prognostic assessments of patients with operable breast cancer. The framework may be delivered over a web interface. It comprises a triangulation of prognostic modelling, visualisation of historical patient data and an explanatory facility to interpret risk group assignments using empirically derived Boolean rules expressed directly in clinical terms.
论文关键词:Survival analysis,Breast cancer,Artificial neural networks,Rule extraction,Interface
论文评审过程:Received 6 November 2006, Revised 29 November 2007, Accepted 30 November 2007, Available online 1 February 2008.
论文官网地址:https://doi.org/10.1016/j.artmed.2007.11.005