High mortality in the acute and post-hospital periods of myocardial infarction underscores the relevance of accurately stratifying patient risk and assessing survival outcomes. This study compares two complementary approaches: the Cox regression model, including time-dependent covariates, and an ensemble random forest method for binary classification and survival analysis. It is shown that accounting for the dynamics of clinical and laboratory indicators (blood pressure, heart rate, necrosis markers, etc.) improves both the discrimination and calibration of prognostic models. Variants of the instantaneous hazard equation, partial likelihood formulation, and formulas for estimating survival and cumulative hazard are presented. Illustrative examples based on a mixed dataset of real and synthetic data demonstrate the advantages of the combined approach in the presence of censoring and heterogeneous risk profiles. The results confirm the feasibility of integrating such models into the clinical workflow to personalize treatment and rehabilitation strategies after myocardial infarction.
| Mualliflar | Пекось, О.А. |
|---|---|
| Jurnal | Рақамли технологияларнинг назарий ва амалий масалалари |
| Nashr sanasi | 2025-10-27 |
| Jild | 8 |
| Son | 4 |
| Betlar | 48-57 |
| Til | Rus |
| DOI | 10.62132/ijdt.v8i4.302 |
DOI: 10.62132/ijdt.v8i4.302 · Maqolaning asl sahifasi
машинное обучение, анализ выживаемости, прогнозирование летальности, модель Кокса, случайный лес выживания, machine learning, survival analysis, mortality prediction, Cox model, survival random forest
This article develops a model and numerical algorithm with second-order accuracy in time and spatial variables for solving problems of combined heat and moisture transfer during the storage and drying of heterogeneous…
The paper considers the problem of deformation of a thin conductive plate under the action of a non-stationary magnetic field taking into account the Lorentz forces and Joule heat generation. A mathematical model is…
In this study, a concatenated CNN model for pneumonia detection is proposed, combined with an image enhancement method based on fuzzy logic. The image enhancement process utilizes a novel refined fuzzification…
Understanding how daily behavioral patterns contribute to stress is increasingly important in a digitally saturated world. This study investigates the relationship between technology use, lifestyle behaviors, and stress…
The article presents a comprehensive mathematical model of radial filtration in a cylindrical filter, where the fluid flows from the outer layer toward the central cavity. The regions of free flow are described by the…
The article considers a numerical method for solving a two-dimensional coupled dynamic thermoplastic boundary value problem based on deformation theory of plasticity. Discrete equations are compiled by the…
This paper presents an intelligent video monitoring system with automatic fire detection. The system is based on YOLO deep learning algorithms and contour analysis, enabling real-time video stream processing. The…
This study introduces a nonlinear mathematical model and a numerical algorithm for simulating the emission and transport of aerosol and dust particles generated by wind erosion of soil in complex orographic terrain. The…
This work is devoted to the description of certain cohomology groups with specific local conditions that possess the property of “local triviality.” It is proved that such groups are cyclic for certain classes of…
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…
Рақамли технологияларнинг назарий ва амалий масалалари — barcha maqolalar