In this research paper, the development and application of parallelization techniques for the efficient solution of systems of logical equations, particularly in the field of medical diagnostics, are described. The primary article presents a software tool that leverages the PyTorch library for rapid and parallel analysis of logical relationships between diseases and their symptoms, formulating these relationships in terms of Boolean algebra. The program automates the generation, solution, and storage of results for these systems, demonstrating significant computational acceleration through the utilization of graphical processing units (GPUs). The overarching objective of the study is to identify precise dependencies of symptoms on cardiological diseases to support clinical decision-making. In addressing this challenge, the most effective approach to achieving clarity and logical substantiation of reasoning is through the application of mathematical methods.
| Mualliflar | Урунбаев, Э., Абдирофиев, Н., Туримов, Д. |
|---|---|
| Jurnal | Рақамли технологияларнинг назарий ва амалий масалалари |
| Nashr sanasi | 2025-09-30 |
| Jild | 8 |
| Son | 3 |
| Betlar | 142-148 |
| Til | Rus |
| DOI | 10.62132/ijdt.v8i3.297 |
DOI: 10.62132/ijdt.v8i3.297 · Maqolaning asl sahifasi
кардиологические заболевания, логическая функция, медицинская диагностика, симптомы болезней, система логических уравнений, cardiac diseases, disease symptoms, logical function, medical diagnostics, system of logical equations
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