AIMC Topic: Bayes Theorem

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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...
Ambrosia Bayes Theorem Weather Allergens Antigens, Plant Machine Learning Forecasting Plant Extracts Neural Networks, Computer
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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...
Humans Neural Networks, Computer Machine Learning Algorithms ROC Curve Reproducibility of Results Workflow Biomarkers, Tumor Bayes Theorem Models, Biological Drug Discovery Molecular Targeted Therapy Antineoplastic Agents
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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.
Radiotherapy Setup Errors Technology, Radiologic Datasets as Topic Humans False Negative Reactions ROC Curve False Positive Reactions Radiotherapy Dosage Bayes Theorem Radiologists Radiotherapy Planning, Computer-Assisted Radiotherapy, Image-Guided Neural Networks, Computer Simulation Training Organ Specificity Algorithms Medical Errors Dose Fractionation, Radiation 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...
Models, Statistical Bayes Theorem Signal Processing, Computer-Assisted Atrial Fibrillation Probability Normal Distribution Data Collection Heart Diseases Reproducibility of Results Diagnosis, Computer-Assisted Electrocardiography Support Vector Machine Humans Databases, Factual
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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...
Pattern Recognition, Automated Machine Learning Wavelet Analysis Algorithms Magnetic Resonance Imaging Brain Humans Models, Statistical Decision Trees Brain Neoplasms Reproducibility of Results Area Under Curve ROC Curve Bayes Theorem Image Processing, Computer-Assisted Glioma
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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...
Humans Machine Learning Algorithms Retrospective Studies Sensitivity and Specificity Magnetic Resonance Imaging Predictive Value of Tests Bayes Theorem Placenta Pregnancy Female Reproducibility of Results Adult Image Interpretation, Computer-Assisted Prenatal Diagnosis Placenta Accreta Placenta Previa
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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...
Databases, Factual Nanoparticles Models, Theoretical Bayes Theorem Neural Networks, Computer Machine Learning Algorithms Humans
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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...
Public Health England Decision Making Humans Bayes Theorem Sentinel Surveillance Machine Learning Algorithms Risk Assessment
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A machine learning-based approach for predicting the outbreak of cardiovascular diseases in patients on dialysis.

Computer methods and programs in biomedicine May 13, 2019
BACKGROUND AND OBJECTIVE: Patients with End- Stage Kidney Disease (ESKD) have a unique cardiovascular risk. This study aims at predicting, with a certain precision, death and cardiovascular diseases in dialysis patients.
Registries False Positive Reactions Risk Sensitivity and Specificity Male Biomarkers Bayes Theorem Support Vector Machine Cardiovascular Diseases Prognosis Humans Kidney Failure, Chronic Middle Aged Models, Statistical Female Machine Learning Italy Aged Algorithms Databases, Factual
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Predicting breast cancer metastasis by using serum biomarkers and clinicopathological data with machine learning technologies.

International journal of medical informatics May 7, 2019
BACKGROUND: Approximately 10%-15% of patients with breast cancer die of cancer metastasis or recurrence, and early diagnosis of it can improve prognosis. Breast cancer outcomes may be prognosticated on the basis of surface markers of tumor cells and ...
Breast Neoplasms Middle Aged Cohort Studies ROC Curve Bayes Theorem Algorithms Biomarkers Prognosis Female Humans Machine Learning
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