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On the Features of Implementation of the Solver of the JSM Method for Intellectual Data Analysis

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Abstract

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.

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Funding

This work was carried out with the financial support of the Russian Foundation for Basic Research (project no. 18-29-03063).

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Authors and Affiliations

  1. OOO OncoUnite Clinics, 143026, Moscow, Russia

    D. K. Chebanov

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  1. D. K. Chebanov
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Correspondence to D. K. Chebanov.

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The authors declare that they have no conflicts of interest.

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Chebanov, D.K. On the Features of Implementation of the Solver of the JSM Method for Intellectual Data Analysis. Autom. Doc. Math. Linguist. 54, 196–201 (2020). https://doi.org/10.3103/S0005105520040020

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  • DOI: https://doi.org/10.3103/S0005105520040020

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