机器学习在冠状动脉搭桥术患者不良心血管事件预后问题中的应用

Q4 Medicine

Clinical and Experimental Surgery Pub Date : 2023-01-01 DOI:10.33029/2308-1198-2023-11-3-16-28

E.A. Ovcharenko, K.Yu. Klyshnikov, A.G. Kutikhin, A.V. Frolov

引用次数: 0

摘要

本文章由计算机程序翻译，如有差异，请以英文原文为准。

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Machine learning in the problem of adverse cardiovascular events prognosis in patients after coronary artery bypass surgery

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来源期刊

Clinical and Experimental Surgery Medicine-Surgery

CiteScore

0.40

自引率

0.00%

发文量

期刊介绍： Journal “Clinical and Experimental Surgery. Petrovsky journal” – a broad-based journal on surgery established to merge all the surgical specialties into the integrated intellectual space provided with up to date systems of communication and information. Following this aim the on-line support of the journal involves extended version and multimedia materials. As soon as the modern surgery has exceeded the scopes of the application-oriented science, the editorial board will encourage the researches of academic importance and facilitate creation of the fresh lines of research as well as the translation of the research results into the practical surgery. Broad-based profile of the journal and multidisciplinary approach to the arrangement of the research materials are to create a start point for the discussions activating the development of the innovative, joint cross-sectoral and international projects. Thematic scope of the journal: Cardiac and vascular surgery Thoracic surgery Abdominal surgery Transplantation and artificial organs Endoscopic surgery Reconstructive and microvascular surgery Physiology, physiopathology, diagnostics Fundamental research and interdisciplinary technologies Education Bioethics History of surgery.