AIMC Topic: Bayes Theorem

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Exploring uncertainty measures in deep networks for Multiple sclerosis lesion detection and segmentation.

Medical image analysis Sep 7, 2019
Deep learning networks have recently been shown to outperform other segmentation methods on various public, medical-image challenge datasets, particularly on metrics focused on large pathologies. For diseases such as Multiple Sclerosis (MS), however,...
Bayes Theorem Multiple Sclerosis Image Interpretation, Computer-Assisted Uncertainty Humans Deep Learning Magnetic Resonance Imaging
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Bayesian additive regression trees and the General BART model.

Statistics in medicine Aug 28, 2019
Bayesian additive regression trees (BART) is a flexible prediction model/machine learning approach that has gained widespread popularity in recent years. As BART becomes more mainstream, there is an increased need for a paper that walks readers throu...
Humans Machine Learning Bayes Theorem Algorithms Regression Analysis
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Active deep learning for the identification of concepts and relations in electroencephalography reports.

Journal of biomedical informatics Aug 27, 2019
The identification of medical concepts, their attributes and the relations between concepts in a large corpus of Electroencephalography (EEG) reports is a crucial step in the development of an EEG-specific patient cohort retrieval system. However, th...
Problem-Based Learning Epilepsy Information Storage and Retrieval Medical Informatics Electronic Data Processing Natural Language Processing Bayes Theorem Electroencephalography Neural Networks, Computer Brain Deep Learning Cohort Studies Humans
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Prediction of future gastric cancer risk using a machine learning algorithm and comprehensive medical check-up data: A case-control study.

Scientific reports Aug 27, 2019
A comprehensive screening method using machine learning and many factors (biological characteristics, Helicobacter pylori infection status, endoscopic findings and blood test results), accumulated daily as data in hospitals, could improve the accurac...
Endoscopy, Gastrointestinal Humans Middle Aged Aged Area Under Curve Adult Logistic Models Machine Learning Stomach Neoplasms Case-Control Studies Bayes Theorem Female Male Longitudinal Studies ROC Curve Risk Factors
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Machine learning in predicting graft failure following kidney transplantation: A systematic review of published predictive models.

International journal of medical informatics Aug 24, 2019
INTRODUCTION: Machine learning has been increasingly used to develop predictive models to diagnose different disease conditions. The heterogeneity of the kidney transplant population makes predicting graft outcomes extremely challenging. Several kidn...
Kidney Transplantation Databases, Factual Decision Trees Predictive Value of Tests Humans Graft Rejection Neural Networks, Computer Bayes Theorem Machine Learning
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Sex estimation: a comparison of techniques based on binary logistic, probit and cumulative probit regression, linear and quadratic discriminant analysis, neural networks, and naïve Bayes classification using ordinal variables.

International journal of legal medicine Aug 23, 2019
The performance of seven classification methods, binary logistic (BLR), probit (PR) and cumulative probit (CPR) regression, linear (LDA) and quadratic (QDA) discriminant analysis, artificial neural networks (ANN), and naïve Bayes classification (NBC)...
Humans Female Male Logistic Models Bayes Theorem Neural Networks, Computer Machine Learning Algorithms Statistics as Topic Skull Discriminant Analysis Pelvis Sex Determination by Skeleton
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Prediction model development of late-onset preeclampsia using machine learning-based methods.

PloS one Aug 23, 2019
Preeclampsia is one of the leading causes of maternal and fetal morbidity and mortality. Due to the lack of effective preventive measures, its prediction is essential to its prompt management. This study aimed to develop models using machine learning...
Support Vector Machine Female Bayes Theorem Age of Onset Gestational Age Humans Pre-Eclampsia Adult Pregnancy Trimester, Third Machine Learning Logistic Models Pregnancy Trimester, Second Pregnancy
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Comparing regression, naive Bayes, and random forest methods in the prediction of individual survival to second lactation in Holstein cattle.

Journal of dairy science Aug 22, 2019
In this study, we compared multiple logistic regression, a linear method, to naive Bayes and random forest, 2 nonlinear machine-learning methods. We used all 3 methods to predict individual survival to second lactation in dairy heifers. The data set ...
Animals, Newborn Breeding Genome Bayes Theorem Lactation Parturition Machine Learning Animals Cattle Pregnancy Female
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Stochasticity from function - Why the Bayesian brain may need no noise.

Neural networks : the official journal of the International Neural Network Society Aug 19, 2019
An increasing body of evidence suggests that the trial-to-trial variability of spiking activity in the brain is not mere noise, but rather the reflection of a sampling-based encoding scheme for probabilistic computing. Since the precise statistical p...
Neurons Membrane Potentials Computer Simulation Neuronal Plasticity Neural Networks, Computer Brain Models, Neurological Bayes Theorem
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Force classification during robotic interventions through simulation-trained neural networks.

International journal of computer assisted radiology and surgery Aug 16, 2019
PURPOSE: Intravitreal injection is among the most frequent treatment strategies for chronic ophthalmic diseases. The last decade has seen a serious increase in the number of intravitreal injections, and with it, adverse effects and drawbacks. To tack...
Intravitreal Injections Diagnostic Techniques, Ophthalmological Mechanical Phenomena Sclera Tomography, Optical Coherence Machine Learning Bayes Theorem Computer Simulation Robotic Surgical Procedures Reproducibility of Results Image Processing, Computer-Assisted Models, Theoretical Humans Animals Neural Networks, Computer Swine
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