Probit回归法模拟大肠癌癌症治疗过程中白细胞的变化

IF 0.6 Q4 STATISTICS & PROBABILITY Electronic Journal of Applied Statistical Analysis Pub Date : 2020-02-05 DOI:10.1285/I20705948V13N1P75
H. Kuswanto, Nesia Balqis, H. Ohwada, S.F. Toha
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引用次数: 0

摘要

结直肠癌已成为世界范围内发病率较高的癌症类型之一。为了找到降低患癌症风险的方法,人们做了各种各样的努力。使用5-氟尿嘧啶(5-FU)化疗是常见的癌症治疗方法之一,有望将白细胞(WBC)水平提高到正常水平。本研究探讨5-FU联合步行形式的物理治疗对肿瘤患者白细胞水平变化的影响因素。通过关注WBC水平的变化,即降低或增加WBC水平作为反应,对28例接受治疗14天的癌症患者的数据进行probit回归。probit回归发现患者的年龄、平均每日步数和5-FU的剂量对WBC的变化有显著影响。回归能够对案例进行分类,分类准确率为85.71%,结果令人满意。这一结论可为更好地治疗结直肠癌患者达到正常白细胞提供指导。
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Modelling the Change of White Blood Cell on Colorectal Cancer Treatment Using Probit Regression
Colorectal cancer has become one of the cancer types with high incidence rate all over the world. Various eorts have been carried out to nd a way to decrease the risk of cancer. Chemotherapy using 5-Fluorouracil (5-FU) is one of the common cancer treatments that is expected to drive the white blood cell (WBC) level into the normal level. This research investigates the factors inuencing the change of WBC level in cancer patients treated with 5-FU combined with physical treatment in the form of footsteps. By focusing on the change of WBC level, i.e. decreasing or increasing the WBC level as the response, probit regression was applied to the data measured from 28 cancer patients who have undergone 14 days of treatment. The probit regression found that age of the patient, average number of daily footsteps and the dose of 5-FU signcantly inuence the change of WBC. The regression is able to classify the case with a satisfactory results, i.e. 85.71% classication accuracy. This nding can be a guideline to better treat the colorectal cancer patient to reach a normal WBC.
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