AIMC Topic:
Bayes Theorem

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Identifying progressive CKD from healthy population using Bayesian network and artificial intelligence: A worksite-based cohort study.

Scientific reports Mar 25, 2019
Identifying progressive early chronic kidney disease (CKD) patients at a health checkup is a good opportunity to improve their prognosis. However, it is difficult to identify them using common health tests. This worksite-based cohort study for 7 year...
Bayes Theorem Adult Male Middle Aged Disease Progression Renal Insufficiency, Chronic Glomerular Filtration Rate Kidney Function Tests Humans Artificial Intelligence Prognosis Female
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Bayesian Networks for Risk Prediction Using Real-World Data: A Tool for Precision Medicine.

Value in health : the journal of the International Society for Pharmacoeconomics and Outcomes Research Mar 15, 2019
OBJECTIVE: The fields of medicine and public health are undergoing a data revolution. An increasing availability of data has brought about a growing interest in machine-learning algorithms. Our objective is to present the reader with an introduction ...
Bayes Theorem Data Mining Heart Diseases Precision Medicine Risk Factors Risk Assessment Neoplasms Treatment Outcome Humans Models, Statistical Machine Learning Data Interpretation, Statistical
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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...
Machine Learning Algorithms Medicine Clinical Decision-Making Humans Neural Networks, Computer Veterinary Medicine Animals Decision Trees Bayes Theorem
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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...
Humans Patient Safety Primary Health Care Support Vector Machine Bayes Theorem 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 ...
Algorithms Logistic Models Humans Gene Expression Profiling Neural Networks, Computer Support Vector Machine Deep Learning Artificial Intelligence Metabolome Machine Learning Bayes Theorem
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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 ...
Female Adult Male Middle Aged Humans Machine Learning Brain Multiple Sclerosis Gray Matter White Matter Image Processing, Computer-Assisted Demyelinating Diseases Magnetic Resonance Imaging 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...
Neural Networks, Computer Machine Learning Databases, Factual Drug Discovery HIV Infections Anti-HIV Agents Support Vector Machine Humans Reverse Transcriptase Inhibitors HIV Reverse Transcriptase Decision Trees Bayes Theorem HIV
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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...
Algorithms Female Humans Bayes Theorem Young Adult Male Machine Learning Aortic Dissection Adult Middle Aged Area Under Curve
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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.
Consciousness Disorders Male Biomarkers Phosphopyruvate Hydratase Middle Aged Prognosis Humans Bayes Theorem Treatment Outcome Female Machine Learning Critical Care Aged Hypoxia-Ischemia, Brain Algorithms
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