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With the booming development of medical informatization and the ubiquitous connections in the fifth generation mobile communication technology (5G) era, the heterogeneity and explosive growth of medical data have brought huge challenges to data access ...
Lanfang Sun +3 more
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Ensemble learning‐based classification of microarray cancer data on tree‐based features
Cancer is a group of related diseases with high mortality rate characterized by abnormal cell growth which attacks the body tissues. Microarray cancer data is a prominent research topic across many disciplines focused to address problems related to the ...
Guesh Dagnew, B.H. Shekar
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Advances in technology and improvement of efficacy for many neuromodulation applications have been achieved without understanding the relationship between the stimulation parameters and the neural activity which is generated in the nervous system.
John Parker +2 more
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Toward Non-Invasive Estimation of Blood Glucose Concentration: A Comparative Performance
The present study comprises a comparison of the Mel Frequency Cepstral Coefficients (MFCC), Principal Component Analysis (PCA) and Independent Component Analysis (ICA) as feature extraction methods using ten different regression algorithms (AdaBoost ...
Gustavo A. Alonso-Silverio +4 more
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Improving Access and Mental Health For Youth Using Smart Technologies
The overall objective of this research is to evaluate the use of a mobile health smartphone application (app) to improve the mental health of youth between the ages of 14 and 25 years, with symptoms of anxiety and/or depression. This project includes 122
Cheryl Forchuk +11 more
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Load balancing strategy for medical big data based on low delay cloud network
Since the cloud servers are far away from the medical detection terminal and user terminal, the communication overhead such as the delay caused by data transmission is large. At the same time, a large number of medical terminals and user terminals access
Huafu Yong
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Severity detection tool for patients with infectious disease
Hand foot and mouth disease (HFMD) and tetanus are serious infectious diseases in low- and middle-income countries. Tetanus, in particular, has a high mortality rate and its treatment is resource-demanding.
Girmaw Abebe Tadesse +18 more
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Classification of healthcare data using hybridised fuzzy and convolutional neural network
Healthcare performs a key role in the health of humans in the world. While gathering a huge amount of medical data, the problems will appear on the classification of healthcare data.
Balamurugan Ramasamy, Abdul Zubar Hameed
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Augmented reality display of neurosurgery craniotomy lesions based on feature contour matching
Traditional neurosurgical craniotomy primarily uses two‐dimensional cranial medical images to estimate the location of a patient’s intracranial lesions.
Hao Zhang +2 more
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In breast reconstruction following a single mastectomy, the surgeon needs to choose between tens of available implants to find the one that can reproduce the symmetry of the patient's breasts.
Sara Amini, Marta Kersten-Oertel
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