The software implementation of the procedures of the JSM method of automated support of scientific research, which has been repeatedly used to solve problems associated with the prognosis of diseases based on various data, including genomic data, is considered. Attention is paid to techniques for optimizing memory usage and reducing computation time, including the organization of parallel execution of procedures. Development was conducted in python 3.7. Due to the described optimization, the computational procedure time was reduced by more than 20 times.

中文翻译：

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JSM方法用于智能数据分析的求解器的实现特征

考虑了科学研究的JSM自动支持方法的程序的软件实现，该方法已被反复用于基于各种数据（包括基因组数据）解决与疾病预后相关的问题。注意优化内存使用和减少计算时间的技术，包括组织并行执行程序。开发是在python 3.7中进行的。由于所描述的优化，计算过程时间减少了20倍以上。