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Analysis of Algorithms for Predicting the Probability of Fatal Outcome in Patients After Myocardial Infarction

Year: 2024

Type: article

Abstract: This paper examines various algorithms for predicting the probability of death in patients who have had a myocardial infarction. Classical statistical models, machine learning algorithms, and hybrid models for factor risk analysis are considered. Using these algorithms allows providing patients with individual medical care.

Source: Zenodo (CERN European Organization for Nuclear Research)

DOI: 10.5281/zenodo.14190194

Author: A.D. Saidov, T.N. A'zamov, U.A. Berdanov, S.A. Tojiyev

Language: English

Topic: Artificial Intelligence in Healthcare

Subfield: Health Information Management

Field: Health Professions

Domain: Health Sciences

SDG: Good health and well-being

Open Access status: green

OpenAlex ID: W6911784129

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