AIMC Topic: Bayes Theorem

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Cancer survival prognosis with Deep Bayesian Perturbation Cox Network.

Computers in biology and medicine Nov 2, 2021
BACKGROUND: The Cox proportional hazards model with neural networks is widely used to accurately predict survival outcome for choosing cancer treatment strategies. Although this method has shown outstanding performance in many tasks, it has encounter...
Bayes Theorem Proportional Hazards Models Humans Neural Networks, Computer Neoplasms Genomics Computer Simulation
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Artificial Intelligence in Liver Transplantation.

Transplantation proceedings Nov 2, 2021
BACKGROUND: Advancements based on artificial intelligence have emerged in all areas of medicine. Many decisions in organ transplantation can now potentially be addressed in a more precise manner with the aid of artificial intelligence.
Neural Networks, Computer Humans Artificial Intelligence Tissue Donors Liver Transplantation Bayes Theorem
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A Comparative Study of Marginalized Graph Kernel and Message-Passing Neural Network.

Journal of chemical information and modeling Nov 1, 2021
This work proposes a state-of-the-art hybrid kernel to calculate molecular similarity. Combined with Gaussian process models, the performance of the hybrid kernel in predicting molecular properties is comparable to that of the directed message-passin...
Neural Networks, Computer Bayes Theorem
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A Machine-Learning-Based System for Prediction of Cardiovascular and Chronic Respiratory Diseases.

Journal of healthcare engineering Nov 1, 2021
Cardiovascular and chronic respiratory diseases are global threats to public health and cause approximately 19 million deaths worldwide annually. This high mortality rate can be reduced with the use of technological advancements in medical science th...
Bayes Theorem Vital Signs Algorithms Humans Support Vector Machine Machine Learning
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Coalescent-based species delimitation meets deep learning: Insights from a highly fragmented cactus system.

Molecular ecology resources Oct 31, 2021
Delimiting species boundaries is a major goal in evolutionary biology. An increasing volume of literature has focused on the challenges of investigating cryptic diversity within complex evolutionary scenarios of speciation, including gene flow and de...
Phylogeny Deep Learning Bayes Theorem Gene Flow Cactaceae Species Specificity Biological Evolution
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Developing an Analytical Pipeline to Classify Patient Safety Event Reports Using Optimized Predictive Algorithms.

Methods of information in medicine Oct 31, 2021
BACKGROUND: Patient safety event reports provide valuable insight into systemic safety issues but deriving insights from these reports requires computational tools to efficiently parse through large volumes of qualitative data. Natural language proce...
Patient Safety Humans Natural Language Processing Bayes Theorem Machine Learning Algorithms
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Detecting out-of-distribution samples via variational auto-encoder with reliable uncertainty estimation.

Neural networks : the official journal of the International Neural Network Society Oct 28, 2021
Variational autoencoders (VAEs) are influential generative models with rich representation capabilities from the deep neural network architecture and Bayesian method. However, VAE models have a weakness that assign a higher likelihood to out-of-distr...
Bayes Theorem Neural Networks, Computer Uncertainty
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Dynamic prediction of renal survival among deeply phenotyped kidney transplant recipients using artificial intelligence: an observational, international, multicohort study.

The Lancet. Digital health Oct 28, 2021
BACKGROUND: Kidney allograft failure is a common cause of end-stage renal disease. We aimed to develop a dynamic artificial intelligence approach to enhance risk stratification for kidney transplant recipients by generating continuously refined predi...
Area Under Curve Bayes Theorem Proteinuria Transplant Recipients Models, Biological Kidney Glomerular Filtration Rate Risk Assessment Postoperative Complications Kidney Transplantation Renal Insufficiency Female Prognosis Adult Male Humans Reproducibility of Results Allografts Middle Aged Artificial Intelligence
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Performing sequential forward selection and variational autoencoder techniques in soil classification based on laser-induced breakdown spectroscopy.

Analytical methods : advancing methods and applications Oct 28, 2021
The feasibility and accuracy of several combination classification models, , quadratic discriminant analysis (QDA), random forest (RF), Bernoulli naïve Bayes (BNB), and support vector machine (SVM) classification models combined with either sequentia...
Soil Spectrum Analysis Lasers Support Vector Machine Bayes Theorem
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Disease variant prediction with deep generative models of evolutionary data.

Nature Oct 27, 2021
Quantifying the pathogenicity of protein variants in human disease-related genes would have a marked effect on clinical decisions, yet the overwhelming majority (over 98%) of these variants still have unknown consequences. In principle, computational...
Selection, Genetic Genetic Fitness Models, Molecular Bayes Theorem Genetic Variation Disease Biological Assay Proteins Unsupervised Machine Learning Genetic Predisposition to Disease Evolution, Molecular Humans Phenotype
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