基于机器学习的远程医疗框架，优先考虑患有多种慢性疾病的远程患者的紧急医疗服务

IF 2 Q3 MATHEMATICAL & COMPUTATIONAL BIOLOGY

Network Modeling and Analysis in Health Informatics and Bioinformatics Pub Date : 2023-01-03 DOI:10.1007/s13721-022-00407-w

Sara Yahya Kadum, O. Salman, Z. Taha, Amal Bati Said, Musab A. M. Ali, Q. Qassim, M. Aal-Nouman, Duraid Y. Mohammed, Baraa M. Al baker, Z. A. Abdalkareem

引用次数: 2

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-based telemedicine framework to prioritize remote patients with multi-chronic diseases for emergency healthcare services

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来源期刊

Network Modeling and Analysis in Health Informatics and Bioinformatics MATHEMATICAL & COMPUTATIONAL BIOLOGY-

CiteScore

5.40

自引率

4.30%

发文量

期刊介绍： NetMAHIB publishes original research articles and reviews reporting how graph theory, statistics, linear algebra and machine learning techniques can be effectively used for modelling and analysis in health informatics and bioinformatics. It aims at creating a synergy between these disciplines by providing a forum for disseminating the latest developments and research findings; hence, results can be shared with readers across institutions, governments, researchers, students, and the industry. The journal emphasizes fundamental contributions on new methodologies, discoveries and techniques that have general applicability and which form the basis for network based modelling, knowledge discovery, knowledge sharing and decision support to the benefit of patients, healthcare professionals and society in traditional and advanced emerging settings, including eHealth and mHealth .