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
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
收藏
页码:4398 / 4399
页数:2
相关论文
共 13 条
[1]  
[Anonymous], 2023, IEEE J. Biomed, Health Inform., DOI [10.1109/3BHI.2023.3284060, DOI 10.1109/3BHI.2023.3284060]
[2]   SFT-Net: A Network for Detecting Fatigue From EEG Signals by Combining 4D Feature Flow and Attention Mechanism [J].
Gao, Dongrui ;
Wang, Kejie ;
Wang, Manqing ;
Zhou, Jiliu ;
Zhang, Yongqing .
IEEE JOURNAL OF BIOMEDICAL AND HEALTH INFORMATICS, 2024, 28 (08) :4444-4455
[3]   Multi-View Fusion Network-Based Gesture Recognition Using sEMG Data [J].
Li, Gongfa ;
Zou, Cejing ;
Jiang, Guozhang ;
Jiang, Du ;
Yun, Juntong ;
Zhao, Guojun ;
Cheng, Yangwei .
IEEE JOURNAL OF BIOMEDICAL AND HEALTH INFORMATICS, 2024, 28 (08) :4432-4443
[4]  
Li Q., 2023, IEEE J. Biomed. Health Inform., DOI [10.1109/JBHI2023.3343518, DOI 10.1109/JBHI2023.3343518]
[5]  
Lin Q., 2023, IEEE J. Biomed. Health Inform., DOI [10.1109/JBHI.2023,3298708, DOI 10.1109/JBHI.2023,3298708]
[6]  
Luo Y., 2024, IEEE J. Biomed. Health Inform., DOI [10.1109/JBHI2024.3387937, DOI 10.1109/JBHI2024.3387937]
[7]  
Tang Z., 2024, IEEE J. Biomed. Health Inform., DOI [10.1109/JBHL2024.3407881, DOI 10.1109/JBHL2024.3407881]
[8]   LightNet: A Novel Lightweight Convolutional Network for Brain Tumor Segmentation in Healthcare [J].
Wu, Dongyuan ;
Tao, Junyi ;
Qin, Zhen ;
Mumtaz, Rao Asad ;
Qin, Jing ;
Yu, Linfang ;
Courtney, Jane .
IEEE JOURNAL OF BIOMEDICAL AND HEALTH INFORMATICS, 2024, 28 (08) :4471-4482
[9]  
Yang X., 2024, IEEE J. Biomed. Health Inform., DOI [10.1109/JBHI2023.3334709, DOI 10.1109/JBHI2023.3334709]
[10]   DETHACDA: A Dual-View Edge and Topology Hybrid Attention Model for CircRNA-Disease Associations Prediction [J].
Yin, Wenjing ;
Wang, Shudong ;
Qiao, Sibo ;
Zhao, Yawu ;
Wu, Wenhao ;
Pang, Shanchen ;
Lv, Zhihan .
IEEE JOURNAL OF BIOMEDICAL AND HEALTH INFORMATICS, 2024, 28 (08) :4421-4431