Artificial Intelligence of Things for Smarter Healthcare: A Survey of Advancements, Challenges, and Opportunities
Author:
Affiliation:
1. College of Science and Engineering, James Cook University, Cairns, QLD, Australia
2. School of Computing, Engineering and Mathematical Sciences, La Trobe University, Melbourne, VIC, Australia
Funder
Australian Government through the Australian Research Council’s Discovery Projects Funding Scheme
Publisher
Institute of Electrical and Electronics Engineers (IEEE)
Subject
Electrical and Electronic Engineering
Link
http://xplorestaging.ieee.org/ielx7/9739/10130694/10066875.pdf?arnumber=10066875
Reference272 articles.
1. Integration of interstitial fluid extraction and glucose detection in one device for wearable non-invasive blood glucose sensors;yao;Biosens Bioelectron,2021
2. Neurological state changes indicative of ADHD in children learned via EEG-based LSTM networks
3. Touch-based fingertip blood-free reliable glucose monitoring: Personalized data processing for predicting blood glucose concentrations;sempionatto;ACS Sensors,2021
4. Continuous and automatic mortality risk prediction using vital signs in the intensive care unit: a hybrid neural network approach
5. Can Wearable Sweat Lactate Sensors Contribute to Sports Physiology?
Cited by 49 articles. 订阅此论文施引文献 订阅此论文施引文献，注册后可以免费订阅5篇论文的施引文献，订阅后可以查看论文全部施引文献
1. Data ecosystem business models: Value propositions and value capture with Artificial Intelligence of Things;International Journal of Information Management;2024-10
2. Intelligent Bayesian Inference for Multiclass Lung Infection Diagnosis: Network Analysis of Ranked Gray Level Co-occurrence (GLCM) Features;New Generation Computing;2024-08-28
3. Artificial intelligence of things for synergizing smarter eco-city brain, metabolism, and platform: Pioneering data-driven environmental governance;Sustainable Cities and Society;2024-08
4. Set Up My Smart Home as I Want;Computer;2024-08
5. A machine learning approach for differentiating bipolar disorder type II and borderline personality disorder using electroencephalography and cognitive abnormalities;PLOS ONE;2024-06-21
1.学者识别学者识别
2.学术分析学术分析
3.人才评估人才评估
"同舟云学术"是以全球学者为主线，采集、加工和组织学术论文而形成的新型学术文献查询和分析系统，可以对全球学者进行文献检索和人才价值评估。用户可以通过关注某些学科领域的顶尖人物而持续追踪该领域的学科进展和研究前沿。经过近期的数据扩容，当前同舟云学术共收录了国内外主流学术期刊6万余种，收集的期刊论文及会议论文总量共计约1.5亿篇，并以每天添加12000余篇中外论文的速度递增。我们也可以为用户提供个性化、定制化的学者数据。欢迎来电咨询！咨询电话：010-8811{复制后删除}0370
www.globalauthorid.com
TOP
Copyright © 2019-2024 北京同舟云网络信息技术有限公司 京公网安备11010802033243号 京ICP备18003416号-3