AIMC Topic: Bayes Theorem

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Left ventricle quantification with sample-level confidence estimation via Bayesian neural network.

Computerized medical imaging and graphics : the official journal of the Computerized Medical Imaging Society Jul 26, 2020
Quantification of cardiac left ventricle has become a hot topic due to its great significance in clinical practice. Many efforts have been devoted to LV quantification and obtained promising performance with the help of various deep neural networks w...
Humans Heart Ventricles Neural Networks, Computer Uncertainty Bayes Theorem
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Deep learning for population size history inference: Design, comparison and combination with approximate Bayesian computation.

Molecular ecology resources Jul 25, 2020
For the past decades, simulation-based likelihood-free inference methods have enabled researchers to address numerous population genetics problems. As the richness and amount of simulated and real genetic data keep increasing, the field has a strong ...
Deep Learning Computer Simulation Cattle Bayes Theorem Animals Models, Genetic Genetics, Population Population Density
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Performance comparison of wavelet neural network and adaptive neuro-fuzzy inference system with small data sets.

Journal of molecular graphics & modelling Jul 24, 2020
In this work, performance of wavelet neural network (WNN) and adaptive neuro-fuzzy inference system (ANFIS) models were compared with small data sets by different criteria such as second order corrected Akaike information criterion (AICc), Bayesian i...
Neural Networks, Computer Fuzzy Logic Bayes Theorem
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Natural language processing and machine learning to enable automatic extraction and classification of patients' smoking status from electronic medical records.

Upsala journal of medical sciences Jul 22, 2020
BACKGROUND: The electronic medical record (EMR) offers unique possibilities for clinical research, but some important patient attributes are not readily available due to its unstructured properties. We applied text mining using machine learning to en...
Smoking False Positive Reactions Tobacco Use Disorder Software Algorithms Medical Informatics Natural Language Processing Research Design Automation Humans Bayes Theorem Electronic Health Records Pattern Recognition, Automated Machine Learning Data Mining Reproducibility of Results Observer Variation Sweden ROC Curve Support Vector Machine
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Integrating uncertainty in deep neural networks for MRI based stroke analysis.

Medical image analysis Jul 19, 2020
At present, the majority of the proposed Deep Learning (DL) methods provide point predictions without quantifying the model's uncertainty. However, a quantification of the reliability of automated image analysis is essential, in particular in medicin...
Magnetic Resonance Imaging Humans Bayes Theorem Neural Networks, Computer Stroke Reproducibility of Results Uncertainty
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Automated identification of chest radiographs with referable abnormality with deep learning: need for recalibration.

European radiology Jul 14, 2020
OBJECTIVES: To evaluate the calibration of a deep learning (DL) model in a diagnostic cohort and to improve model's calibration through recalibration procedures.
Radiography, Thoracic Pattern Recognition, Automated Calibration Reference Standards Diagnosis, Computer-Assisted Deep Learning ROC Curve Image Processing, Computer-Assisted Predictive Value of Tests Area Under Curve Bayes Theorem Adult Male Humans Middle Aged Lung Algorithms Female Retrospective Studies Reproducibility of Results Aged
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Machine Learning Platform to Discover Novel Growth Inhibitors of Neisseria gonorrhoeae.

Pharmaceutical research Jul 13, 2020
PURPOSE: To advance fundamental biological and translational research with the bacterium Neisseria gonorrhoeae through the prediction of novel small molecule growth inhibitors via naïve Bayesian modeling methodology.
Anti-Bacterial Agents Molecular Structure Machine Learning Databases, Chemical Bayes Theorem Drug Discovery Neisseria gonorrhoeae Microbial Sensitivity Tests Gonorrhea Structure-Activity Relationship
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Using Sensor Data to Detect Lameness and Mastitis Treatment Events in Dairy Cows: A Comparison of Classification Models.

Sensors (Basel, Switzerland) Jul 10, 2020
The aim of this study was to develop classification models for mastitis and lameness treatments in Holstein dairy cows as the target variables based on continuous data from herd management software with modern machine learning methods. Data was colle...
Female Sensitivity and Specificity Animals Cattle Mastitis Bayes Theorem Milk Machine Learning Lameness, Animal Dairying
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Fully bayesian longitudinal unsupervised learning for the assessment and visualization of AD heterogeneity and progression.

Aging Jul 9, 2020
Tau pathology and brain atrophy are the closest correlate of cognitive decline in Alzheimer's disease (AD). Understanding heterogeneity and longitudinal progression of atrophy during the disease course will play a key role in understanding AD pathoge...
Humans Brain Female Longitudinal Studies Magnetic Resonance Imaging Cluster Analysis Unsupervised Machine Learning Aged Aged, 80 and over Male Disease Progression Image Interpretation, Computer-Assisted Atrophy Bayes Theorem Amyloid beta-Peptides Alzheimer Disease
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Machine learning for pattern detection in cochlear implant FDA adverse event reports.

Cochlear implants international Jul 5, 2020
Medical device performance and safety databases can be analyzed for patterns and novel opportunities for improving patient safety and/or device design. The objective of this analysis was to use supervised machine learning to explore patterns in rep...
Female Adult Male Child Machine Learning Algorithms Databases, Factual Humans Cochlear Implantation Logistic Models Equipment Failure Analysis United States Cochlear Implants Bayes Theorem Public Reporting of Healthcare Data United States Food and Drug Administration
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