文章基本信息

标题：Modelling the Change of White Blood Cell on Colorectal Cancer Treatment Using Probit Regression
本地全文：下载
作者：Heri Kuswanto ; Nesia Balqis ; Hayato Ohwada 等
期刊名称：Electronic Journal of Applied Statistical Analysis
电子版ISSN：2070-5948
出版年度：2020
卷号：13
期号：1
页码：75-85
DOI：10.1285/i20705948v13n1p75
出版社：University of Salento
摘要：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.
关键词：classification;footstep;WBC;chemotherapy.