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An Artificial Neural Network for Analysing the Survival of Patients with Colorectal Cancer

机译:一种人工神经网络,用于分析结直肠癌患者的存活

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An internet/web based artificial neural network has been developed for use by practicing clinical oncologists and medical researchers as part of a programme to aid decision making and eventually, the management and treatment of individual patients with colorectal cancer. We have configured and implemented a Partial Likelihood Artificial Neural Network (PLANN) and trained it to predict cancer related survival in patients with confirmed colorectal cancer using a database provided by the Clinical Resource and Audit Group (CRAG) in Scotland. The reliability of the trained PLANN was evaluated against Kaplan-Meier (KM) actual survival plots and shows close agreement with them.
机译:通过练习临床肿瘤学家和医学研究人员作为方案的一部分,开发了一种基于互联网/基于网络的人工神经网络,以帮助决策,最终,患有结直肠癌患者的管理和治疗。我们已经配置并实施了部分似然人工神经网络(综合规则),并培训其使用苏格兰临床资源和审计组(Crag)提供的数据库预测确诊结直肠癌患者的癌症相关存活。训练有素的计划的可靠性对Kaplan-Meier(KM)实际的生存地块进行了评估,并与他们进行了密切一致。

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