Special Issue on Data-driven Cognitive Computing for Smart Healthcare Systems

被引：0

作者：

Shah, Syed Hassan ^{[1
]}

Wei, Wei ^{[2
]}

Wang, Wei ^{[3
]}

机构：

[1] Calif State Univ Fullerton, Fullerton, CA 92834 USA

[2] Xian Univ Technol, Xian 710048, Peoples R China

[3] Shenzhen MSU BIT Univ, Shenzhen 518000, Peoples R China

来源：

IEEE JOURNAL OF BIOMEDICAL AND HEALTH INFORMATICS | 2024年 / 28卷 / 08期

关键词：

Special issues and sections; Data models; Smart healthcare; Machine learning; Artificial intelligence; Anomaly detection; Energy management;

D O I：

10.1109/JBHI.2024.3420668

中图分类号：

TP [自动化技术、计算机技术];

学科分类号：

0812 ;

摘要：

With the rising costs of drugs, medical devices, and diagnostic development, the topic of data-driven cognitive computing is currently an emerging research area in smart healthcare construction. With the support of machine learning and artificial intelligence empowered cognitive computing, the significant insights and knowledge hidden behind medical data can be capitalized for process optimization, anomaly detection, energy management, and so on. The special issue is an effort to provide a platform for researchers to explore healthcare issues supported by data-driven cognitive computing-related technologies from both theoretical and practical perspectives.

引用

页码：4398 / 4399

页数：2

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