Computer Statistics Modeling of Medical Process

M. Shoikhedbrod
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Abstract

Computer statistical modeling plays a huge role in medicine for making an accurate diagnosis and, on its basis, choosing the right method of treatment, predicting the outcome of the disease, and evaluating the effectiveness of the chosen treatment tactics. Computer-statistical modeling of the course of the disease on the example of oncology, carried out by the author on the basis of a scientific-statistical SSP package adapted to medical data (rewritten in the Turbo Basic programming language), included all the main elements of computer statistical data processing underlying computer statistical modeling with regard to communication, based on the creation of computer-aided medical-statistical models of the disease, to actively participate in the effective treatment of patients in clinical practice. Effective participation in the treatment of cancer patients was carried out through the implementation of the developed computer-statistical models of the tactics of individual planning of the examination of the patient, individualized prognosis of the course of the disease, which determine the possibility of an individual approach to observation and postoperative treatment of the patient. The paper presents the results of computer-statistical data processing using the SSP scientific-statistical software package, which became the basis of the development of a computer-statistical model of accurate interpolation prediction of the timing of the appearance of metastases in cancer patients after surgical treatment, and of evaluation of the effectiveness of preventive treatment for the appearance of metastases after surgery.
医疗过程的计算机统计建模
计算机统计建模在医学中发挥着巨大的作用,可以做出准确的诊断,并在此基础上选择正确的治疗方法,预测疾病的结果,以及评估所选治疗策略的有效性。以肿瘤学为例,作者在适用于医疗数据的科学统计SSP软件包(用Turbo Basic编程语言重写)的基础上对疾病过程进行了计算机统计建模,其中包括计算机统计数据处理的所有主要要素,这些要素是基于计算机辅助疾病医学统计模型的创建,在通信方面作为计算机统计建模的基础。在临床实践中积极参与患者的有效治疗。通过实施已开发的计算机统计模型,有效地参与了癌症患者的治疗,对患者的检查进行了个人计划,对病程进行了个性化预后,确定了对患者进行个人观察和术后治疗的可能性。本文介绍了利用SSP科学统计软件包对计算机统计数据进行处理的结果,为建立肿瘤患者手术后转移出现时间的精确插值预测计算机统计模型和评估预防治疗对手术后转移出现的有效性奠定了基础。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
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