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使用 Apriori 算法识别以手术为中心的口腔癌患者的临床病理因素与更高生存性能之间的关联规则。

Identifying the association rules between clinicopathologic factors and higher survival performance in operation-centric oral cancer patients using the Apriori algorithm.

机构信息

Department of Radiation Oncology, Faculty of Medicine, College of Medicine, Kaohsiung Medical University, Kaohsiung, Taiwan.

出版信息

Biomed Res Int. 2013;2013:359634. doi: 10.1155/2013/359634. Epub 2013 Jul 25.

DOI:10.1155/2013/359634
PMID:23984353
原文链接:https://pmc.ncbi.nlm.nih.gov/articles/PMC3741931/
Abstract

This study computationally determines the contribution of clinicopathologic factors correlated with 5-year survival in oral squamous cell carcinoma (OSCC) patients primarily treated by surgical operation (OP) followed by other treatments. From 2004 to 2010, the program enrolled 493 OSCC patients at the Kaohsiung Medical Hospital University. The clinicopathologic records were retrospectively reviewed and compared for survival analysis. The Apriori algorithm was applied to mine the association rules between these factors and improved survival. Univariate analysis of demographic data showed that grade/differentiation, clinical tumor size, pathology tumor size, and OP grouping were associated with survival longer than 36 months. Using the Apriori algorithm, multivariate correlation analysis identified the factors that coexistently provide good survival rates with higher lift values, such as grade/differentiation = 2, clinical stage group = early, primary site = tongue, and group = OP. Without the OP, the lift values are lower. In conclusion, this hospital-based analysis suggests that early OP and other treatments starting from OP are the key to improving the survival of OSCC patients, especially for early stage tongue cancer with moderate differentiation, having a better survival (>36 months) with varied OP approaches.

摘要

本研究通过计算,确定了与经手术(OP)为主的其他治疗后 5 年生存率相关的临床病理因素在口腔鳞状细胞癌(OSCC)患者中的作用。2004 年至 2010 年,高雄医学大学附属医院收治了 493 例 OSCC 患者。对这些患者的临床病理记录进行回顾性分析和生存分析比较。采用 Apriori 算法挖掘这些因素与改善生存之间的关联规则。对人口统计学数据的单因素分析表明,分级/分化、临床肿瘤大小、病理肿瘤大小和 OP 分组与 36 个月以上的生存时间相关。使用 Apriori 算法进行多变量相关性分析,确定了共存的、具有较高提升值的、提供良好生存率的因素,例如分级/分化=2、临床分期组=早期、原发部位=舌和 OP 组。如果没有 OP,提升值会更低。总之,这项基于医院的分析表明,早期 OP 和其他起始于 OP 的治疗是提高 OSCC 患者生存率的关键,尤其是对于中分化的早期舌癌,通过各种 OP 方法,生存率(>36 个月)更好。

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