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Hypoglycaemia prediction models with auto explanation
2021
IEEE Access
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This study presents the state-of-the-art on reasoning and prediction models related with either blood glucose level or hypoglycaemia events. ...
World-wide statistics show a considerable growth of the occurrence of different types of Diabetes Mellitus, posing diverse challenges at many levels for public health policies. ...
Several approaches of ANN are addressed, including extreme learning machine (ELM), jump neural networks (JNN), multi-layer perception (MLP), recurrent neural network (RNN), and self-organising map (SOM ...
doi:10.1109/access.2021.3117340
fatcat:eflkebrblrh7bfautdy4emgrzu
Statistical Verification of Autonomous Systems using Surrogate Models and Conformal Inference
[article]
2021
arXiv
pre-print
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In this paper, we propose conformal inference based approach for statistical verification of CPS models. ...
We propose a new approach for statistical verification of CPS models for user-provided distribution on the model parameters. ...
Neural Network Regression. Neural networks [5] offer a high degree of flexibility for regressing arbitrary nonlinear functions. ...
arXiv:2004.00279v2
fatcat:akkp52krtjecrkl44ttpks3maq
Technology to Treat Hyperglycemia in Trauma
2007
Journal of Diabetes Science and Technology
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monitoring, non-invasive glucose monitoring, the physiology of interstitial fluid, closed loop control of blood glucose, alternate needle-free routes of insulin delivery, and software for describing and ...
Workshop A, entitled "Reimbursement Strategies for Diabetes Technologies" was comprised of four panels where: (1) reimbursement strategies (2) continuous glucose monitoring, (3) insulin pumps and (4) drugs ...
Acknowledgements: Financial support for this study was obtained through US Army Medical Research Grants (#, W81XWH-04-1-0779 and #W81XWH-05-1-0539).
Optimization of an Implantable Glucose ...
doi:10.1177/193229680700100201
pmid:19888416
pmcid:PMC2771461
fatcat:igdwumfhgvdbja4cq24kwokcni
Effects of stevia on synaptic plasticity and NADPH oxidase level of CNS in conditions of metabolic disorders caused by fructose
2017
BMC Complementary and Alternative Medicine
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stimulation, indicating its adaptogenic role in plasticity of neural networks. ...
We suggest a novel concept of efficiency of Stevia leaves for treatment of central diabetic neuropathy. ...
neural networks with typical disturbances of balance and intensity of excitatory/inhibitory evoked responses. ...
doi:10.1186/s12906-017-2049-9
pmid:29258552
pmcid:PMC5735878
fatcat:beb56kgcbbgbvhkokznrjutbsy
Neural predictive monitoring and a comparison of frequentist and Bayesian approaches
2021
International Journal on Software Tools for Technology Transfer (STTT)
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AbstractNeural state classification (NSC) is a recently proposed method for runtime predictive monitoring of hybrid automata (HA) using deep neural networks (DNNs). ...
These measures yield principled criteria for the rejection of predictions likely to be incorrect, without knowing the true reachability values. ...
The state distribution considers uniformly distributed values of plasma glucose and insulin. The insulin control input is fixed to the basal value. The time bound is T = 240. ...
doi:10.1007/s10009-021-00623-1
fatcat:cikyy6doq5dcld2r3oehicrtjm
Citrate Synthase and OGDH as Potential Biomarkers of Atherosclerosis under Chronic Stress
2021
Oxidative Medicine and Cellular Longevity
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Real-time quantitative polymerase chain reaction (RT-qPCR) was used to analyze the expression of genes. In addition, a neural network model was constructed. ...
network model, and cubic spline interpolation. ...
And we thank Yong Wang for his assistance for the docking study technology.
Supplementary Materials Supplement 1: the detailed information of establishment and assessment of chronic stress model. ...
doi:10.1155/2021/9957908
pmid:34539976
pmcid:PMC8445721
fatcat:h42jafgipnce5i3iizirhopeny
Cancer: A turbulence problem
2020
Neoplasia: An International Journal for Oncology Research
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As we approach computational oncology and Deep Learning Healthcare, our mathematical models of cancer dynamics must be revised. ...
They remain the leading cause of disease-related death among children in North America. ...
Recurrent neural networks are subtypes of artificial neural networks that can accurately map the phase-space portraits of chaotic systems [84] . ...
doi:10.1016/j.neo.2020.09.008
pmid:33142240
pmcid:PMC7588841
fatcat:migyi4rxqndmxgqhyxsiyqpatu
Choroid Plexus Blood-CSF Barrier: Major Player in Brain Disease Modeling and Neuromedicine
2018
Journal of Neurology and Neuromedicine
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A worthy therapeutic aim is to attenuate CNS disorders triggered by BCSFB malfunction, using CSF-delivered therapeutic agents for promoting neural viability. ...
Neuronal networks require stable extracellular fluid (ECF). Neurotransmission and electrical signaling depend on ECF of specialized composition. ...
Snodgrass for critical reading of the manuscript and helpful comments. Dr. E. ...
doi:10.29245/2572.942x/2018/4.1194
fatcat:v64ilqhw4ndntanpuklkljdaxa
A Theoretical Framework for Photosensitivity: Evidence of Systemic Regulation
2009
Journal of computer science and systems biology
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Specific neural (EEG) frequencies can be associated with visual perception. ...
a measure of the rate of reaction. ...
commercialisation of Virtual Scanning. ...
doi:10.4172/jcsb.1000044
fatcat:sj54hoyv6fgh5mixqxgrr2szyy
The Spectrum of Mechanism-oriented Models for Explanations of Biological Phenomena
[article]
2018
arXiv
pre-print
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These model types are intended to contribute to the foundation of an ontology of mechanism-based simulation research in the life sciences. ...
To encourage improved semantic and methodological clarity, we describe the spectrum of Mechanism-oriented Models being used to develop explanations of biological phenomena. ...
To simulate how the insulin/glucose regulation might work, they built a feedback model-glucose stimulating insulin production, and insulin increasing glucose consumption. ...
arXiv:1801.04909v1
fatcat:kuiful7fnjdqdl5dy22z2stmgm
Healthcare
[article]
2017
arXiv
pre-print
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The complexity of the healthcare ecosystem and the trans-disciplinary convergence which is essential for its function, makes it difficult to address healthcare as one domain. ...
Data curation and analysis of the information may boost our health related knowledge. ...
Network(s) thus revealed may be super-imposed (sub-imposed) on other networks in systems biology -network of gene circuits [ 131 ] , network of cellular signals [ 132 ] , neural network of networks ...
arXiv:1703.04524v1
fatcat:4a5mbp4scvgufpzb5utorx7r5i
The Pancreatic β-Cell: A Bioenergetic Perspective
2016
Physiological Reviews
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The pancreatic -cell secretes insulin in response to elevated plasma glucose. ...
The control mechanisms responsible for the unique responsiveness of the cell to glucose availability are discussed from bioenergetic and metabolic control standpoints. ...
ACKNOWLEDGMENTS I thank Martin Brand, Lena Eliasson, Akos Gerencser, Hindrik Mulder, and Orian Shirihai for helpful comments. ...
doi:10.1152/physrev.00009.2016
pmid:27582250
fatcat:a32eybekxnhindzfabs3e3deqa
Specification-Based Monitoring of Cyber-Physical Systems: A Survey on Theory, Tools and Applications
[chapter]
2018
Lecture Notes in Computer Science
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Despite large effort and progress in the exhaustive verification of such hybrid systems, the complexity of CPS models limits formal verification of safety of their behaviour only to small instances. ...
When dealing with cyber-physical systems, whose existence and interaction scope are not confined to the world inside a computer for which practically exact models exist, complete formal verification is ...
Bartocci acknowledges the partial support of the Austrian National Research Network S 11405-N23 (RiSE/SHiNE) of the Austrian Science Fund (FWF). G. ...
doi:10.1007/978-3-319-75632-5_5
fatcat:2m52qvfax5cn3fgyhcl3piy2ui
The Physics of Intelligence
2012
Journal of Education and Learning
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All of it is accomplished through the new methodology of qualitative mathematics and modeling. ...
It explains formation of simple and complex concept, construction of mathematical space and physical theory and the underlying physical processes involved at every phase starting with reception of external ...
Similar applications led to the development of the theory of chaos and turbulence (Escultura, Dynamic Modeling, 2004; Chaos and Turbulence, 2011) . ...
doi:10.5539/jel.v1n2p51
fatcat:kaqbznubynb2liltbwwahzovwe
Glucagon-Like Peptide-1 and Its Class B G Protein-Coupled Receptors: A Long March to Therapeutic Successes
2016
Pharmacological Reviews
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Xiao Luo for information collection.
Authorship Contributions Participated in research design: Wang. ...
Wrote or contributed to the writing of the manuscript: de Graaf, Donnelly, Wootten, Lau, Sexton, Miller, Ahn, Liao, Fletcher, Yang, Brown, Zhou, Deng, Wang. ...
The complexity of these signal sequences highlights the need for experimental verification of the role of the signal sequence in GLP-1R. ...
doi:10.1124/pr.115.011395
pmid:27630114
pmcid:PMC5050443
fatcat:bsgcmsq4rzhypdn3goayzyok3e
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