AIMC Topic:
Bayes Theorem

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Influence of Industrialization and Environmental Protection on Environmental Pollution: A Case Study of Taihu Lake, China.

International journal of environmental research and public health Nov 23, 2018
In order to quantitatively study the effect of environmental protection in China since the twenty-first century and the environmental pollution projected for the next ten years (under the model of extensive economic development), this paper establish...
Neural Networks, Computer Lakes China Environmental Monitoring Benzo(a)pyrene Industrial Development Water Pollutants, Chemical Bayes Theorem Environmental Pollution Cadmium Conservation of Natural Resources Geologic Sediments
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Automatic identification of recent high impact clinical articles in PubMed to support clinical decision making using time-agnostic features.

Journal of biomedical informatics Nov 22, 2018
OBJECTIVES: Finding recent clinical studies that warrant changes in clinical practice ("high impact" clinical studies) in a timely manner is very challenging. We investigated a machine learning approach to find recent studies with high clinical impac...
Publications Clinical Decision-Making Machine Learning PubMed Bayes Theorem
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In vitro neural networks minimise variational free energy.

Scientific reports Nov 16, 2018
In this work, we address the neuronal encoding problem from a Bayesian perspective. Specifically, we ask whether neuronal responses in an in vitro neuronal network are consistent with ideal Bayesian observer responses under the free energy principle....
Learning Models, Neurological Bayes Theorem Markov Chains Humans Neural Networks, Computer Algorithms
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Predicting the Health Status of an Unmanned Aerial Vehicles Data-Link System Based on a Bayesian Network.

Sensors (Basel, Switzerland) Nov 13, 2018
Unmanned aerial vehicles (UAVs) require data-link system to link ground data terminals to the real-time controls of each UAV. Consequently, the ability to predict the health status of a UAV data-link system is vital for safe and efficient operations....
Bayes Theorem Remote Sensing Technology Aircraft Solar Energy Humans Health Status Robotics
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Mortality prediction in patients with isolated moderate and severe traumatic brain injury using machine learning models.

PloS one Nov 9, 2018
BACKGROUND: The purpose of this study was to build a model of machine learning (ML) for the prediction of mortality in patients with isolated moderate and severe traumatic brain injury (TBI).
Predictive Value of Tests Young Adult Bayes Theorem Brain Injuries, Traumatic Abbreviated Injury Scale Decision Trees Adult Male Taiwan Female Logistic Models Humans Aged Support Vector Machine Neural Networks, Computer Aged, 80 and over Machine Learning Middle Aged ROC Curve
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A Kernel Bayesian Adaptive Resonance Theory with A Topological Structure.

International journal of neural systems Oct 30, 2018
This paper attempts to solve the typical problems of self-organizing growing network models, i.e. (a) an influence of the order of input data on the self-organizing ability, (b) an instability to high-dimensional data and an excessive sensitivity to ...
Bayes Theorem Neural Networks, Computer Algorithms Computer Simulation
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A systematic literature review and classification of knowledge discovery in traditional medicine.

Computer methods and programs in biomedicine Oct 27, 2018
INTRODUCTION AND OBJECTIVE: Despite the importance of machine learning methods application in traditional medicine there is a no systematic literature review and a classification for this field. This is the first comprehensive literature review of th...
Medicine, Traditional Plant Preparations Persia Symptom Assessment Medicine, Kampo India Support Vector Machine Medicine, Chinese Traditional Machine Learning Data Mining Bayes Theorem Databases, Factual Humans Japan Medicine, Ayurvedic Diagnosis, Computer-Assisted Neural Networks, Computer China Artificial Intelligence
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ECG Signal Classification Using Various Machine Learning Techniques.

Journal of medical systems Oct 18, 2018
Electrocardiogram (ECG) signal is a process that records the heart rate by using electrodes and detects small electrical changes for each heat rate. It is used to investigate some types of abnormal heart function including arrhythmias and conduction ...
Machine Learning Algorithms Electrocardiography Bayes Theorem Signal Processing, Computer-Assisted Humans
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An improved support vector machine-based diabetic readmission prediction.

Computer methods and programs in biomedicine Oct 12, 2018
BACKGROUND AND OBJECTIVE: In healthcare systems, the cost of unplanned readmission accounts for a large proportion of total hospital payment. Hospital-specific readmission rate becomes a critical issue around the world. Quantification and early ident...
Decision Support Systems, Clinical Sensitivity and Specificity Logistic Models Humans Female Support Vector Machine Male Patient Discharge Neural Networks, Computer Reproducibility of Results Risk Assessment Patient Readmission Algorithms Risk Factors Decision Trees Bayes Theorem
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Machine-learning based lipid mediator serum concentration patterns allow identification of multiple sclerosis patients with high accuracy.

Scientific reports Oct 5, 2018
Based on increasing evidence suggesting that MS pathology involves alterations in bioactive lipid metabolism, the present analysis was aimed at generating a complex serum lipid-biomarker. Using unsupervised machine-learning, implemented as emergent s...
Adult Male Middle Aged Biomarkers Female Young Adult Lipids Bayes Theorem Multiple Sclerosis Humans Machine Learning
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