Using Machine Learning to Identify Dependencies in Statistical Data Based on Retrospective Information : доклад, тезисы доклада

Описание

Тип публикации: доклад, тезисы доклада, статья из сборника материалов конференций

Конференция: The 8th Computational Methods in Systems and Software 2024 (CoMeSySo2024); Cham; Cham

Год издания: 2025

Идентификатор DOI: 10.1007/978-3-031-96759-7_14

Аннотация: This paper discusses the application of data analysis to software diagnostics and its role in ensuring software quality and improving the efficiency of medical diagnostics. In the field of software development, software diagnostics plays a key role in detecting and eliminating bugs, optimizing performance, and ensuring the reliabilПоказать полностьюity of software products. With the help of various tools and techniques such as static code analysis, dynamic testing, and performance profiling, developers can identify problem areas in software code and take corrective actions. Machine learning algorithms can identify hidden patterns and relationships in data, allowing doctors to make more accurate diagnoses, predict disease progression, and select the most effective treatments.

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Издание

Журнал: Artificial Intelligence and System Engineering

Выпуск журнала: 1490-2

Номера страниц: 218-229

Место издания: Cham

Персоны

  • Glinscaya A.R. (Reshetnev Siberian State University of Science and Technology)
  • Kukartseva S.V. (Russian State Agrarian University - Moscow Timiryazev Agricultural Academy)
  • Tynchenko V.S. (Reshetnev Siberian State University of Science and Technology)

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