Artificial Intelligence for Diabetes Management and Decision Support: Literature Review.
Artificial Intelligence for Diabetes Management and Decision Support: Literature Review.
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DOI：
10.2196/10775
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发表时间：
2018-05-30
影响因子：
7.4
通讯作者：
Vehi J
中科院分区：
文献类型：
--
作者：
Contreras I;Vehi J
人工智能方法与最新技术相结合，包括医疗设备、移动的计算和传感器技术，有可能创造和提供更好的管理服务，以应对慢性病。糖尿病是最常见的慢性疾病之一，其特征是葡萄糖稳态功能障碍。本文的目的是回顾最近的努力，使用人工智能技术，以协助管理糖尿病，沿着相关的挑战。使用PubMed和相关书目资源进行文献综述。对2010年至2018年的文献进行分析，共获得1849篇相关文章，我们选择其中141篇进行详细综述。我们提出了糖尿病管理和人工智能的功能分类。此外，使用相关关键结局对每个受试者类别进行了详细分析。这种方法表明，所审查的实验和研究产生了令人鼓舞的结果。我们获得的证据表明，旨在开发人工智能驱动工具以预测和预防糖尿病相关并发症的研究活动正在加速。我们的研究结果表明，人工智能方法正在逐步建立，适用于临床日常实践以及糖尿病的自我管理。因此，这些方法为改善患者的生活质量提供了强有力的工具。
Artificial intelligence methods in combination with the latest technologies, including medical devices, mobile computing, and sensor technologies, have the potential to enable the creation and delivery of better management services to deal with chronic diseases. One of the most lethal and prevalent chronic diseases is diabetes mellitus, which is characterized by dysfunction of glucose homeostasis. The objective of this paper is to review recent efforts to use artificial intelligence techniques to assist in the management of diabetes, along with the associated challenges. A review of the literature was conducted using PubMed and related bibliographic resources. Analyses of the literature from 2010 to 2018 yielded 1849 pertinent articles, of which we selected 141 for detailed review. We propose a functional taxonomy for diabetes management and artificial intelligence. Additionally, a detailed analysis of each subject category was performed using related key outcomes. This approach revealed that the experiments and studies reviewed yielded encouraging results. We obtained evidence of an acceleration of research activity aimed at developing artificial intelligence-powered tools for prediction and prevention of complications associated with diabetes. Our results indicate that artificial intelligence methods are being progressively established as suitable for use in clinical daily practice, as well as for the self-management of diabetes. Consequently, these methods provide powerful tools for improving patients’ quality of life.
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糖尿病的医疗标准 - 2010年。
影响因子：
16.2
作者：
American Diabetes Association
通讯作者：
American Diabetes Association
影响因子：
16.2
作者：
Atlas E;Nimri R;Miller S;Grunberg EA;Phillip M
通讯作者：
Phillip M
DOI：
10.1109/jbhi.2014.2308928
发表时间：
2014-07-01
影响因子：
7.7
作者：
Anthimopoulos, Marios M.;Gianola, Lauro;Mougiakakou, Stavroula G.
通讯作者：
Mougiakakou, Stavroula G.
影响因子：
5
作者：
Anthimopoulos, Marios;Dehais, Joachim;Mougiakakou, Stavroula
通讯作者：
Mougiakakou, Stavroula
影响因子：
4.3
作者：
Albers DJ;Levine M;Gluckman B;Ginsberg H;Hripcsak G;Mamykina L
通讯作者：
Mamykina L