AIMC Topic: Probability

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A probabilistic method to estimate gait kinetics in the absence of ground reaction force measurements.

Journal of biomechanics Sep 5, 2019
Human joint torques during gait are usually computed using inverse dynamics. This method requires a skeletal model, kinematics and measured ground reaction forces and moments (GRFM). Measuring GRFM is however only possible in a controlled environment...
Kinetics Torque Probability Gait Analysis Young Adult Biomechanical Phenomena Male Joints Walking Speed Machine Learning Female Humans
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Neural Probabilistic Graphical Model for Face Sketch Synthesis.

IEEE transactions on neural networks and learning systems Sep 4, 2019
Neural network learning for face sketch synthesis from photos has attracted substantial attention due to its favorable synthesis performance. However, most existing deep-learning-based face sketch synthesis models stacked only by multiple convolution...
Neural Networks, Computer Humans Probability Automated Facial Recognition Pattern Recognition, Automated
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Accelerating cardiovascular model building with convolutional neural networks.

Medical & biological engineering & computing Aug 24, 2019
The objective of this work is to reduce the user effort required for 2D segmentation when building patient-specific cardiovascular models using the SimVascular cardiovascular modeling software package. The proposed method uses a fully convolutional n...
Humans Neural Networks, Computer Probability Automation Models, Cardiovascular Uncertainty Algorithms Image Processing, Computer-Assisted Quality Control
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The virtual doctor: An interactive clinical-decision-support system based on deep learning for non-invasive prediction of diabetes.

Artificial intelligence in medicine Aug 21, 2019
Artificial intelligence (AI) will pave the way to a new era in medicine. However, currently available AI systems do not interact with a patient, e.g., for anamnesis, and thus are only used by the physicians for predictions in diagnosis or prognosis. ...
Body Mass Index Body Weight Probability Speech Recognition Software Waist Circumference Body Height User-Computer Interface Decision Support Systems, Clinical Diabetes Mellitus, Type 2 Humans Middle Aged Female Deep Learning Male Surveys and Questionnaires Neural Networks, Computer Artificial Intelligence
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One or two minds? Neural network modeling of decision making by the unified self.

Neural networks : the official journal of the International Neural Network Society Aug 17, 2019
Ever since the seminal work of Tversky and Kahneman starting in the late 1960s, it has generally been accepted that many characteristic human decision patterns do not follow the norms of economic theories based on rational utility maximization and co...
Decision Making Probability Neural Networks, Computer Brain Models, Neurological Humans
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Artificial intelligence predicts the progression of diabetic kidney disease using big data machine learning.

Scientific reports Aug 14, 2019
Artificial intelligence (AI) is expected to support clinical judgement in medicine. We constructed a new predictive model for diabetic kidney diseases (DKD) using AI, processing natural language and longitudinal data with big data machine learning, b...
Time Factors Diabetic Nephropathies Probability Disease Progression Kaplan-Meier Estimate Humans Deep Learning Artificial Intelligence Big Data Machine Learning
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On strategic choices faced by large pharmaceutical laboratories and their effect on innovation risk under fuzzy conditions.

Artificial intelligence in medicine Aug 11, 2019
OBJECTIVES: We develop a fuzzy evaluation model that provides managers at different responsibility levels in pharmaceutical laboratories with a rich picture of their innovation risk as well as that of competitors. This would help them take better str...
Humans Research Decision Making, Organizational Strategic Planning Models, Statistical Drug Approval Probability Risk Assessment Clinical Trials, Phase I as Topic Clinical Trials, Phase II as Topic Clinical Trials, Phase III as Topic Drug Industry Fuzzy Logic Clinical Trials, Phase IV as Topic Inventions
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GluNet: A Deep Learning Framework for Accurate Glucose Forecasting.

IEEE journal of biomedical and health informatics Jul 29, 2019
For people with Type 1 diabetes (T1D), forecasting of blood glucose (BG) can be used to effectively avoid hyperglycemia, hypoglycemia and associated complications. The latest continuous glucose monitoring (CGM) technology allows people to observe glu...
Algorithms Deep Learning Blood Glucose Diabetes Mellitus, Type 1 Humans Probability Blood Glucose Self-Monitoring
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AMC-Net: Asymmetric and multi-scale convolutional neural network for multi-label HPA classification.

Computer methods and programs in biomedicine Jul 9, 2019
BACKGROUND AND OBJECTIVES: The multi-label Human Protein Atlas (HPA) classification can yield a better understanding of human diseases and help doctors to enhance the automatic analysis of biomedical images. The existing automatic protein recognition...
Cell Nucleus Proteins False Positive Reactions Databases, Protein Phenotype Humans Microscopy, Fluorescence Microtubules Reproducibility of Results Microscopy Neural Networks, Computer Pattern Recognition, Automated Image Processing, Computer-Assisted Probability Algorithms
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Learning Compositional Representations of Interacting Systems with Restricted Boltzmann Machines: Comparative Study of Lattice Proteins.

Neural computation Jul 1, 2019
A restricted Boltzmann machine (RBM) is an unsupervised machine learning bipartite graphical model that jointly learns a probability distribution over data and extracts their relevant statistical features. RBMs were recently proposed for characterizi...
Sequence Alignment Probability Static Electricity Stochastic Processes Computer Simulation Principal Component Analysis Proteins Models, Statistical Models, Molecular Unsupervised Machine Learning Amino Acid Sequence
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