Ali Dag, Abdullah Asilkalkan, Osman T. Aydas, Musa Caglar, Serhat Simsek, Dursun Delen
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引用次数: 0
Abstract
Effective management of colorectal cancer (CRC) necessitates precise prognostication and informed decision-making, yet existing literature often lacks emphasis on parsimonious variable selection and conveying complex interdependencies among factors to medical practitioners. To address this gap, we propose a decision support system integrating Elastic Net (EN) and Simulated Annealing (SA) algorithms for variable selection, followed by Tree Augmented Naive Bayes (TAN) modeling to elucidate conditional relationships. Through k-fold cross-validation, we identify optimal TAN models with varying variable sets and explore interdependency structures. Our approach acknowledges the challenge of conveying intricate relationships among numerous variables to medical practitioners and aims to enhance patient-physician communication. The stage of cancer emerges as a robust predictor, with its significance amplified by the number of metastatic lymph nodes. Moreover, the impact of metastatic lymph nodes on survival prediction varies with the age of diagnosis, with diminished relevance observed in older patients. Age itself emerges as a crucial determinant of survival, yet its effect is modulated by marital status. Leveraging these insights, we develop a web-based tool to facilitate physician–patient communication, mitigate clinical inertia, and enhance decision-making in CRC treatment. This research contributes to a parsimonious model with superior predictive capabilities while uncovering hidden conditional relationships, fostering more meaningful discussions between physicians and patients without compromising patient satisfaction with healthcare provision.
结直肠癌(CRC)的有效治疗需要精确的预后和明智的决策,但现有文献往往缺乏对变量选择的重视,也没有向医疗从业人员传达各因素之间复杂的相互依存关系。为了弥补这一不足,我们提出了一种决策支持系统,该系统集成了弹性网(EN)和模拟退火(SA)算法来选择变量,然后用树增强奈何贝叶(TAN)建模来阐明条件关系。通过 k 倍交叉验证,我们确定了具有不同变量集的最佳 TAN 模型,并探索了相互依存结构。我们的方法认识到了向医疗从业人员传达众多变量之间错综复杂的关系所面临的挑战,旨在加强患者与医生之间的沟通。癌症分期是一个强有力的预测因素,其重要性因转移淋巴结的数量而放大。此外,转移性淋巴结对生存预测的影响随确诊年龄的不同而变化,老年患者的相关性更小。年龄本身是生存率的重要决定因素,但其影响受婚姻状况的调节。利用这些见解,我们开发了一种基于网络的工具,以促进医生与患者之间的交流,缓解临床惰性,并加强对 CRC 治疗的决策。这项研究有助于建立一个具有卓越预测能力的简约模型,同时揭示隐藏的条件关系,促进医生和患者之间进行更有意义的讨论,而不会影响患者对医疗服务的满意度。
期刊介绍:
The interdisciplinary interfaces of Information Systems (IS) are fast emerging as defining areas of research and development in IS. These developments are largely due to the transformation of Information Technology (IT) towards networked worlds and its effects on global communications and economies. While these developments are shaping the way information is used in all forms of human enterprise, they are also setting the tone and pace of information systems of the future. The major advances in IT such as client/server systems, the Internet and the desktop/multimedia computing revolution, for example, have led to numerous important vistas of research and development with considerable practical impact and academic significance. While the industry seeks to develop high performance IS/IT solutions to a variety of contemporary information support needs, academia looks to extend the reach of IS technology into new application domains. Information Systems Frontiers (ISF) aims to provide a common forum of dissemination of frontline industrial developments of substantial academic value and pioneering academic research of significant practical impact.