AIMC Topic: Probability

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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. ...
Humans Neural Networks, Computer Decision Support Systems, Clinical Diabetes Mellitus, Type 2 Body Mass Index Body Weight Probability Waist Circumference Body Height Speech Recognition Software Middle Aged Deep Learning Surveys and Questionnaires User-Computer Interface Artificial Intelligence Female Male
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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 Humans Neural Networks, Computer Brain Models, Neurological
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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...
Humans Artificial Intelligence Time Factors Diabetic Nephropathies Probability Kaplan-Meier Estimate Machine Learning Disease Progression Deep Learning Big Data
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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...
Clinical Trials, Phase II as Topic Probability Drug Industry Inventions Research Risk Assessment Fuzzy Logic Models, Statistical Decision Making, Organizational Strategic Planning Drug Approval Clinical Trials, Phase III as Topic Clinical Trials, Phase I as Topic Clinical Trials, Phase IV as Topic Humans
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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...
Diabetes Mellitus, Type 1 Probability Blood Glucose Self-Monitoring Humans Algorithms Deep Learning Blood Glucose
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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...
Humans Neural Networks, Computer Algorithms Microtubules Pattern Recognition, Automated Cell Nucleus Databases, Protein False Positive Reactions Microscopy, Fluorescence Phenotype Microscopy Reproducibility of Results Probability Image Processing, Computer-Assisted Proteins
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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...
Principal Component Analysis Models, Molecular Amino Acid Sequence Probability Static Electricity Stochastic Processes Sequence Alignment Computer Simulation Models, Statistical Proteins Unsupervised Machine Learning
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Neural networks versus Logistic regression for 30 days all-cause readmission prediction.

Scientific reports Jun 26, 2019
Heart failure (HF) is one of the leading causes of hospital admissions in the US. Readmission within 30 days after a HF hospitalization is both a recognized indicator for disease progression and a source of considerable financial burden to the health...
Machine Learning False Positive Reactions Algorithms Risk Female Heart Failure Aged Probability Logistic Models Humans Patient Readmission United States Neural Networks, Computer Predictive Value of Tests Male Area Under Curve Middle Aged Deep Learning ROC Curve
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A Probabilistic Synapse With Strained MTJs for Spiking Neural Networks.

IEEE transactions on neural networks and learning systems Jun 18, 2019
Spiking neural networks (SNNs) are of interest for applications for which conventional computing suffers from the nearly insurmountable memory-processor bottleneck. This paper presents a stochastic SNN architecture that is based on specialized logic-...
Machine Learning Neuronal Plasticity Action Potentials Probability Humans Synapses Neural Networks, Computer
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Automatic segmentation of hyperreflective foci in OCT images.

Computer methods and programs in biomedicine Jun 17, 2019
BACKGROUND AND OBJECTIVE: The leading cause of vision loss in the Western World is Age-related Macular Degeneration (AMD), but together with modern medicines, tracking the number of Hyperreflective Foci (HF) on Optical Coherence Tomography (OCT) imag...
Decision Support Systems, Clinical Automation Algorithms Tomography, Optical Coherence Image Processing, Computer-Assisted Computer Graphics Vascular Endothelial Growth Factor A Biomarkers Models, Theoretical Humans Macular Degeneration Retrospective Studies Area Under Curve Neural Networks, Computer Probability Deep Learning Software
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