Abstract

A study is made of the genetic, clinical, and immune data of patients with melanoma with the purpose of predicting the degree of aggressiveness of the disease, which will make it possible to organize a personalized treatment process based on the individual risk of remission or relapse. At the same time, combinations of genetic mutations are identified that can serve as markers of such states, which will allow the creation of test systems without the need to determine a complete list of genes. An intelligent system based on the JSM method for automated research support is described: its procedures and data analysis strategies, as well as the results of the system’s work with examples from source data are analyzed in detail.

中文翻译：

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一种实现JSM方法自动研究支持的肿瘤数据分析智能系统

摘要

对黑素瘤患者的遗传，临床和免疫数据进行了研究，目的是预测疾病的侵袭程度，这将有可能根据个体缓解或复发的风险来组织个性化的治疗过程。同时，鉴定了可以用作此类状态标记的遗传突变组合，这将允许创建测试系统，而无需确定完整的基因列表。描述了基于JSM方法的自动化研究支持的智能系统：详细分析了其程序和数据分析策略，以及系统工作的结果和来自源数据的示例。