[HTML][HTML] Artificial intelligence in disease diagnosis: a systematic literature review, synthesizing framework and future research agenda
… and the comparative analysis of different techniques with the used dataset, applied machine
and deep learning methods with computed … using several quality evaluation constraints. The …
and deep learning methods with computed … using several quality evaluation constraints. The …
Real-time remote health-monitoring Systems in a Medical Centre: A review of the provision of healthcare services-based body sensor information, open challenges …
… potential trauma triage in the intensive care unit (ICU). Finally… guidelines and semantically
combined electronic health … in accordance with the need after comparing the drug-taking …
combined electronic health … in accordance with the need after comparing the drug-taking …
[HTML][HTML] Chinese experts' consensus on the application of intensive care big data
L Su, S Liu, Y Long, C Chen, K Chen, M Chen… - Frontiers in …, 2024 - frontiersin.org
… brief information comparison of major foreign intensive care … for deploying and validating
intensive care algorithms. It allows … clinical data, and its electronic medical record system also …
intensive care algorithms. It allows … clinical data, and its electronic medical record system also …
Cloud-centric IoT based student healthcare monitoring framework
… algorithms and then results are computed based on accuracy, … (BRD) In student health domain,
critical health conditions are … in comparing the predictive accuracy of two or more methods…
critical health conditions are … in comparing the predictive accuracy of two or more methods…
CrackU‐net: A novel deep convolutional neural network for pixelwise pavement crack detection
… automatic pavement condition evaluation methods. Since the computerized systems deal with
each … pavement crack detection according to the comparative experiments of this research. …
each … pavement crack detection according to the comparative experiments of this research. …
[HTML][HTML] Deep-Learning-Based Automated Anomaly Detection of EEGs in Intensive Care Units
JCH Wu, NC Liao, TH Yang, CC Hsieh, JA Huang… - Bioengineering, 2024 - mdpi.com
… Whether it is blood testing, brain computed tomography, or even … highest validation accuracy
or the highest validation balanced … the CNN-based model architecture for comparisons. The …
or the highest validation balanced … the CNN-based model architecture for comparisons. The …
The validity of sentiment analysis: Comparing manual annotation, crowd-coding, dictionary approaches, and machine learning algorithms
W Van Atteveldt, MACG Van der Velden… - … Methods and …, 2021 - Taylor & Francis
… As detailed in the step-by-step process given at the end of … That is, scores are computed for
windows of adjacent words, … opinion in online communication: A comparison of methods and …
windows of adjacent words, … opinion in online communication: A comparison of methods and …
End-to-end security scheme for mobility enabled healthcare Internet of Things
… Energy-performance evaluation results show that compared … of patients are confined to
hospital facilities or buildings, gateways … The current master secret is computed using the Pseudo …
hospital facilities or buildings, gateways … The current master secret is computed using the Pseudo …
Edge computing in smart health care systems: Review, challenges, and research directions
M Hartmann, US Hashmi… - Transactions on Emerging …, 2022 - Wiley Online Library
… and techniques are compared for optimal performance. This … in cases where pictures are the
data input to be computed. Other … /health professionals choose the best authentication, data …
data input to be computed. Other … /health professionals choose the best authentication, data …
[HTML][HTML] Fully automated detection and quantification of macular fluid in OCT using deep learning
… an encoder-decoder architecture to identify intraretinal cystoid … We computed pixel-wise
segmentations of IRC and SRF for … The comparison with evaluation by expert readers trained for …
segmentations of IRC and SRF for … The comparison with evaluation by expert readers trained for …