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The dynamic nature of emotions in language learning context: Theory, method, and analysis
P Wang, L Ganushchak, C Welie… - Educational Psychology …, 2024 - Springer
In current research, emotions in language use situations are often examined only at their
starting and ending points, akin to observing the beginning and end of a wave, while …
starting and ending points, akin to observing the beginning and end of a wave, while …
Machine learning applications in preventive healthcare: A systematic literature review on predictive analytics of disease comorbidity from multiple perspectives
XU Duo, XU Zeshui - Artificial Intelligence in Medicine, 2024 - Elsevier
Artificial intelligence is constantly revolutionizing biomedical research and healthcare
management. Disease comorbidity is a major threat to the quality of life for susceptible …
management. Disease comorbidity is a major threat to the quality of life for susceptible …
How artificial intelligence and machine learning can help healthcare systems respond to COVID-19
The COVID-19 global pandemic is a threat not only to the health of millions of individuals,
but also to the stability of infrastructure and economies around the world. The disease will …
but also to the stability of infrastructure and economies around the world. The disease will …
Neural graphical modelling in continuous-time: consistency guarantees and algorithms
A Bellot, K Branson, M van der Schaar - ar** for cold-start diagnosis prediction in healthcare data
Cold-start diagnosis prediction is a challenging task for AI in healthcare, where often only a
few visits per patient and a few observations per disease can be exploited. Although meta …
few visits per patient and a few observations per disease can be exploited. Although meta …
[PDF][PDF] D-code: Discovering closed-form odes from observed trajectories
For centuries, scientists have manually designed closed-form ordinary differential equations
(ODEs) to model dynamical systems. An automated tool to distill closedform ODEs from …
(ODEs) to model dynamical systems. An automated tool to distill closedform ODEs from …
A systematic review of networks for prognostic prediction of health outcomes and diagnostic prediction of health conditions within Electronic Health Records
Background and objective: Using graph theory, Electronic Health Records (EHRs) can be
represented graphically to exploit the relational dependencies of the multiple information …
represented graphically to exploit the relational dependencies of the multiple information …
Temporal logic point processes
We propose a modeling framework for event data and aim to answer questions such
as\emph {when} and\emph {why} the next event would happen. Our proposed model excels …
as\emph {when} and\emph {why} the next event would happen. Our proposed model excels …
Interpretable machine learning for high-dimensional trajectories of aging health
We have built a computational model for individual aging trajectories of health and survival,
which contains physical, functional, and biological variables, and is conditioned on …
which contains physical, functional, and biological variables, and is conditioned on …