AIMC Topic: Bayes Theorem

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Review of Medical Decision Support and Machine-Learning Methods.

Veterinary pathology Mar 13, 2019
Machine-learning methods can assist with the medical decision-making processes at the both the clinical and diagnostic levels. In this article, we first review historical milestones and specific applications of computer-based medical decision support...
Clinical Decision-Making Animals Decision Trees Machine Learning Algorithms Medicine Bayes Theorem Veterinary Medicine Humans Neural Networks, Computer
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Automated classification of primary care patient safety incident report content and severity using supervised machine learning (ML) approaches.

Health informatics journal Mar 7, 2019
Learning from patient safety incident reports is a vital part of improving healthcare. However, the volume of reports and their largely free-text nature poses a major analytic challenge. The objective of this study was to test the capability of auton...
Patient Safety Primary Health Care Support Vector Machine Bayes Theorem Humans Supervised Machine Learning
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Architectures and accuracy of artificial neural network for disease classification from omics data.

BMC genomics Mar 4, 2019
BACKGROUND: Deep learning has made tremendous successes in numerous artificial intelligence applications and is unsurprisingly penetrating into various biomedical domains. High-throughput omics data in the form of molecular profile matrices, such as ...
Gene Expression Profiling Artificial Intelligence Deep Learning Bayes Theorem Machine Learning Logistic Models Humans Neural Networks, Computer Algorithms Support Vector Machine Metabolome
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Classification of radiologically isolated syndrome and clinically isolated syndrome with machine-learning techniques.

European journal of neurology Mar 1, 2019
BACKGROUND AND PURPOSE: The unanticipated detection by magnetic resonance imaging (MRI) in the brain of asymptomatic subjects of white matter lesions suggestive of multiple sclerosis (MS) has been named radiologically isolated syndrome (RIS). As the ...
Adult Male Middle Aged Machine Learning Humans Brain Female Multiple Sclerosis Image Processing, Computer-Assisted Gray Matter White Matter Magnetic Resonance Imaging Demyelinating Diseases Bayes Theorem
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Multiple Machine Learning Comparisons of HIV Cell-based and Reverse Transcriptase Data Sets.

Molecular pharmaceutics Feb 26, 2019
The human immunodeficiency virus (HIV) causes over a million deaths every year and has a huge economic impact in many countries. The first class of drugs approved were nucleoside reverse transcriptase inhibitors. A newer generation of reverse transcr...
Machine Learning Databases, Factual Humans Neural Networks, Computer HIV Reverse Transcriptase Inhibitors HIV Reverse Transcriptase Support Vector Machine Decision Trees Bayes Theorem Drug Discovery HIV Infections Anti-HIV Agents
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A machine learning model to classify aortic dissection patients in the early diagnosis phase.

Scientific reports Feb 25, 2019
Aortic dissection is one of the most clinical-challenging and life-threatening cardiovascular diseases associated with high morbidity and mortality. Aortic dissection requires fast diagnosis and timely therapy. Any delay or misdiagnosis can cause sev...
Aortic Dissection Humans Machine Learning Algorithms Male Female Area Under Curve Middle Aged Young Adult Bayes Theorem Adult
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Towards end-to-end likelihood-free inference with convolutional neural networks.

The British journal of mathematical and statistical psychology Feb 22, 2019
Complex simulator-based models with non-standard sampling distributions require sophisticated design choices for reliable approximate parameter inference. We introduce a fast, end-to-end approach for approximate Bayesian computation (ABC) based on fu...
Regression Analysis Bayes Theorem Likelihood Functions Machine Learning Algorithms Computer Simulation Humans Neural Networks, Computer
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Outcome prediction with serial neuron-specific enolase and machine learning in anoxic-ischaemic disorders of consciousness.

Computers in biology and medicine Feb 16, 2019
BACKGROUND: The continuation of life-sustaining therapy in critical care patients with anoxic-ischemic disorders of consciousness (AI-DOC) depends on prognostic tests such as serum neuron-specific enolase (NSE) concentration levels.
Aged Treatment Outcome Critical Care Biomarkers Humans Phosphopyruvate Hydratase Male Machine Learning Hypoxia-Ischemia, Brain Bayes Theorem Middle Aged Prognosis Consciousness Disorders Algorithms Female
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Automatic Detection and Classification of Lung Nodules in CT Image Using Optimized Neuro Fuzzy Classifier with Cuckoo Search Algorithm.

Journal of medical systems Feb 13, 2019
The Lung nodules are very important to indicate the lung cancer, and its early detection enables timely treatment and increases the survival rate of patient. Even though lots of works are done in this area, still improvement in accuracy is required f...
Fuzzy Logic Early Detection of Cancer Bayes Theorem Diagnosis, Computer-Assisted Algorithms Image Processing, Computer-Assisted Tomography, X-Ray Computed Lung Neoplasms Humans Neural Networks, Computer
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A Benchmarking Between Deep Learning, Support Vector Machine and Bayesian Threshold Best Linear Unbiased Prediction for Predicting Ordinal Traits in Plant Breeding.

G3 (Bethesda, Md.) Feb 7, 2019
Genomic selection is revolutionizing plant breeding. However, still lacking are better statistical models for ordinal phenotypes to improve the accuracy of the selection of candidate genotypes. For this reason, in this paper we explore the genomic ba...
Support Vector Machine Bayes Theorem Quantitative Trait, Heritable Plant Breeding Selective Breeding
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