AIMC Topic: 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 Logistic Models Bayes Theorem Brain Injuries, Traumatic Humans Adult Abbreviated Injury Scale Female Middle Aged Support Vector Machine Decision Trees Male Aged Taiwan ROC Curve Aged, 80 and over Neural Networks, Computer Machine Learning
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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 ...
Algorithms Neural Networks, Computer Computer Simulation Bayes Theorem
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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 Persia Bayes Theorem Japan Data Mining Artificial Intelligence Symptom Assessment Machine Learning Medicine, Kampo India Humans Databases, Factual Medicine, Ayurvedic Support Vector Machine Neural Networks, Computer Diagnosis, Computer-Assisted Plant Preparations Medicine, Chinese Traditional China
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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 Humans Bayes Theorem Signal Processing, Computer-Assisted
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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...
Humans Neural Networks, Computer Algorithms Risk Factors Sensitivity and Specificity Female Reproducibility of Results Bayes Theorem Patient Discharge Logistic Models Male Patient Readmission Risk Assessment Support Vector Machine Decision Support Systems, Clinical Decision Trees
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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...
Machine Learning Biomarkers Female Young Adult Humans Lipids Adult Bayes Theorem Multiple Sclerosis Male Middle Aged
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Gene Regulatory Relationship Mining Using Improved Three-Phase Dependency Analysis Approach.

IEEE/ACM transactions on computational biology and bioinformatics Oct 1, 2018
How to mine the gene regulatory relationship and construct gene regulatory network (GRN) is of utmost interest within the whole biological community, however, which has been consistently a challenging problem since the tremendous complexity in cellul...
Machine Learning Zea mays Algorithms Computational Biology Data Mining Gene Regulatory Networks Bayes Theorem
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Feasibility of anatomical feature points for the estimation of prostate locations in the Bayesian delineation frameworks for prostate cancer radiotherapy.

Radiological physics and technology Sep 28, 2018
This study aimed to investigate the feasibility of anatomical feature points for the estimation of prostate locations in the Bayesian delineation frameworks for prostate cancer radiotherapy. The relationships between the reference centroids of prosta...
Feasibility Studies Radiotherapy Planning, Computer-Assisted Humans Male Prostatic Neoplasms Machine Learning Bayes Theorem Prostate Tomography, X-Ray Computed
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