AIMC Topic: Goals

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Mixed-methods evaluation of three natural language processing modeling approaches for measuring documented goals-of-care discussions in the electronic health record.

Journal of pain and symptom management Feb 16, 2022
CONTEXT: Documented goals-of-care discussions are an important quality metric for patients with serious illness. Natural language processing (NLP) is a promising approach for identifying goals-of-care discussions in the electronic health record (EHR)...
Cohort Studies Natural Language Processing Goals Humans Prospective Studies Electronic Health Records
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Natural language processing and network analysis provide novel insights on policy and scientific discourse around Sustainable Development Goals.

Scientific reports Nov 17, 2021
The United Nations' (UN) Sustainable Development Goals (SDGs) are heterogeneous and interdependent, comprising 169 targets and 231 indicators of sustainable development in such diverse areas as health, the environment, and human rights. Existing effo...
Humans Conservation of Natural Resources COVID-19 Public Policy Goals Human Rights SARS-CoV-2 United Nations Sustainable Development Global Health Natural Language Processing
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Generative Adversarial Network with Multi-branch Discriminator for imbalanced cross-species image-to-image translation.

Neural networks : the official journal of the International Neural Network Society Apr 24, 2021
There has been an increased interest in high-level image-to-image translation to achieve semantic matching. Through a powerful translation model, we can efficiently synthesize high-quality images with diverse appearances while retaining semantic matc...
Image Processing, Computer-Assisted Neural Networks, Computer Goals Semantics
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A generative spiking neural-network model of goal-directed behaviour and one-step planning.

PLoS computational biology Dec 8, 2020
In mammals, goal-directed and planning processes support flexible behaviour used to face new situations that cannot be tackled through more efficient but rigid habitual behaviours. Within the Bayesian modelling approach of brain and behaviour, models...
Brain Action Potentials Bayes Theorem Humans Neural Networks, Computer Algorithms Goals
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Evaluation of the enhanced upper limb therapy programme within the Robot-Assisted Training for the Upper Limb after Stroke trial: descriptive analysis of intervention fidelity, goal selection and goal achievement.

Clinical rehabilitation Sep 11, 2020
OBJECTIVE: To report the fidelity of the enhanced upper limb therapy programme within the Robot-Assisted Training for the Upper Limb after stroke (RATULS) randomized controlled trial, the types of goals selected and the proportion of goals achieved.
Upper Extremity Physical Therapy Modalities Stroke Rehabilitation Motivation Goals Adult Male Middle Aged Treatment Outcome Robotics Stroke Humans Female Aged
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Graph Convolution Networks with manifold regularization for semi-supervised learning.

Neural networks : the official journal of the International Neural Network Society Apr 23, 2020
In recent times, Graph Convolution Networks (GCN) have been proposed as a powerful tool for graph-based semi-supervised learning. In this paper, we introduce a model that enhances label propagation of Graph Convolution Networks (GCN). More precisely,...
Goals Humans Neural Networks, Computer Algorithms Supervised Machine Learning
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Generative Adversarial Networks are special cases of Artificial Curiosity (1990) and also closely related to Predictability Minimization (1991).

Neural networks : the official journal of the International Neural Network Society Apr 13, 2020
I review unsupervised or self-supervised neural networks playing minimax games in game-theoretic settings: (i) Artificial Curiosity (AC, 1990) is based on two such networks. One network learns to generate a probability distribution over outputs, the ...
Probability Goals Humans Neural Networks, Computer Artificial Intelligence Forecasting Unsupervised Machine Learning
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Applying deep learning to single-trial EEG data provides evidence for complementary theories on action control.

Communications biology Mar 9, 2020
Efficient action control is indispensable for goal-directed behaviour. Different theories have stressed the importance of either attention or response selection sub-processes for action control. Yet, it is unclear to what extent these processes can b...
Reaction Time Attention Goals Brain Waves Neuropsychological Tests Motor Activity Predictive Value of Tests Electroencephalography Signal Processing, Computer-Assisted Humans Cognition Brain Support Vector Machine Conflict, Psychological Male Female Deep Learning Young Adult Adolescent Adult
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Can exascale computing and explainable artificial intelligence applied to plant biology deliver on the United Nations sustainable development goals?

Current opinion in biotechnology Feb 18, 2020
Human population growth and accelerated climate change necessitate agricultural improvements using designer crop ideotypes (idealized plants that can grow in niche environments). Diverse and highly skilled research groups must integrate efforts to br...
United Nations Agriculture Humans Goals Sustainable Development Artificial Intelligence
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Neuromodulated attention and goal-driven perception in uncertain domains.

Neural networks : the official journal of the International Neural Network Society Feb 1, 2020
In uncertain domains, the goals are often unknown and need to be predicted by the organism or system. In this paper, contrastive Excitation Backprop (c-EB) was used in two goal-driven perception tasks - one with pairs of noisy MNIST digits and the ot...
Uncertainty Goals Perception Humans Models, Neurological Neural Networks, Computer Reaction Time Attention
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