AI Medical Compendium Topic:
Bayes Theorem

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Complementing the power of deep learning with statistical model fusion: Probabilistic forecasting of influenza in Dallas County, Texas, USA.

Epidemics Jun 8, 2019
Influenza is one of the main causes of death, not only in the USA but worldwide. Its significant economic and public health impacts necessitate development of accurate and efficient algorithms for forecasting of any upcoming influenza outbreaks. Most...
Humans Forecasting Public Health Influenza, Human Texas Disease Outbreaks Deep Learning Models, Statistical Bayes Theorem
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Modeling longitudinal imaging biomarkers with parametric Bayesian multi-task learning.

Human brain mapping Jun 5, 2019
Longitudinal imaging biomarkers are invaluable for understanding the course of neurodegeneration, promising the ability to track disease progression and to detect disease earlier than cross-sectional biomarkers. To properly realize their potential, b...
Humans Machine Learning Neuroimaging Magnetic Resonance Imaging Cerebral Cortex Bayes Theorem Biomarkers Alzheimer Disease Computer Simulation Datasets as Topic Models, Theoretical Longitudinal Studies
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Applying Deep Neural Networks and Ensemble Machine Learning Methods to Forecast Airborne Pollen.

International journal of environmental research and public health Jun 4, 2019
Allergies to airborne pollen are a significant issue affecting millions of Americans. Consequently, accurately predicting the daily concentration of airborne pollen is of significant public benefit in providing timely alerts. This study presents a me...
Neural Networks, Computer Machine Learning Forecasting Allergens Plant Extracts Antigens, Plant Bayes Theorem Ambrosia Weather
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Error Tolerance of Machine Learning Algorithms across Contemporary Biological Targets.

Molecules (Basel, Switzerland) Jun 4, 2019
Machine learning continues to make strident advances in the prediction of desired properties concerning drug development. Problematically, the efficacy of machine learning in these arenas is reliant upon highly accurate and abundant data. These two l...
Neural Networks, Computer Machine Learning Algorithms Reproducibility of Results Humans Bayes Theorem Workflow Biomarkers, Tumor Models, Biological Drug Discovery Molecular Targeted Therapy Antineoplastic Agents ROC Curve
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Development and Validation of a Bayesian Network Method to Detect External Beam Radiation Therapy Physician Order Errors.

International journal of radiation oncology, biology, physics May 31, 2019
PURPOSE: To investigate a Bayesian network (BN)-based method to detect errors in external beam radiation therapy physician orders.
Datasets as Topic False Negative Reactions False Positive Reactions Radiotherapy Dosage Organ Specificity Dose Fractionation, Radiation Radiotherapy, Image-Guided Humans Simulation Training ROC Curve Bayes Theorem Radiologists Radiotherapy Planning, Computer-Assisted Neural Networks, Computer Medical Errors Radiotherapy Setup Errors Algorithms Technology, Radiologic Neoplasms Cohort Studies
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A novel IRBF-RVM model for diagnosis of atrial fibrillation.

Computer methods and programs in biomedicine May 29, 2019
BACKGROUND AND OBJECTIVE: Atrial fibrillation (AF) is one of the common cardiovascular diseases, and electrocardiography (ECG) is a key indicator for the detection and diagnosis of AF and other heart diseases. In this study, an improved machine learn...
Diagnosis, Computer-Assisted Humans Heart Diseases Bayes Theorem Signal Processing, Computer-Assisted Electrocardiography Databases, Factual Atrial Fibrillation Probability Support Vector Machine Data Collection Reproducibility of Results Normal Distribution Models, Statistical
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Brain tumor detection using statistical and machine learning method.

Computer methods and programs in biomedicine May 17, 2019
BACKGROUND AND OBJECTIVE: Brain tumor occurs because of anomalous development of cells. It is one of the major reasons of death in adults around the globe. Millions of deaths can be prevented through early detection of brain tumor. Earlier brain tumo...
Image Processing, Computer-Assisted Brain Wavelet Analysis Decision Trees Glioma Reproducibility of Results Magnetic Resonance Imaging Area Under Curve Brain Neoplasms Humans Bayes Theorem Models, Statistical ROC Curve Pattern Recognition, Automated Machine Learning Algorithms
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Machine learning analysis of MRI-derived texture features to predict placenta accreta spectrum in patients with placenta previa.

Magnetic resonance imaging May 15, 2019
PURPOSE: To evaluate whether a machine learning (ML) analysis employing MRI-derived texture analysis (TA) features could be useful in assessing the presence of placenta accreta spectrum (PAS) in patients with placenta previa (PP). The hypothesis is t...
Image Interpretation, Computer-Assisted Prenatal Diagnosis Placenta Accreta Placenta Previa Magnetic Resonance Imaging Predictive Value of Tests Bayes Theorem Placenta Female Reproducibility of Results Adult Sensitivity and Specificity Humans Machine Learning Algorithms Retrospective Studies Pregnancy
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Machine learning prediction of nanoparticle in vitro toxicity: A comparative study of classifiers and ensemble-classifiers using the Copeland Index.

Toxicology letters May 15, 2019
Nano-Particles (NPs) are well established as important components across a broad range of products from cosmetics to electronics. Their utilization is increasing with their significant economic and societal potential yet to be fully realized. Inroads...
Nanoparticles Models, Theoretical Neural Networks, Computer Bayes Theorem Machine Learning Algorithms Humans Databases, Factual
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Machine learning to refine decision making within a syndromic surveillance service.

BMC public health May 14, 2019
BACKGROUND: Worldwide, syndromic surveillance is increasingly used for improved and timely situational awareness and early identification of public health threats. Syndromic data streams are fed into detection algorithms, which produce statistical al...
Sentinel Surveillance Public Health England Decision Making Bayes Theorem Humans Machine Learning Algorithms Risk Assessment
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