AIMC Topic:
Bayes Theorem

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Statistical characterization and classification of colon microarray gene expression data using multiple machine learning paradigms.

Computer methods and programs in biomedicine Apr 10, 2019
OBJECTIVE: A colon microarray data is a repository of thousands of gene expressions with different strengths for each cancer cell. It is necessary to detect which genes are responsible for cancer growth. This study presents an exhaustive comparative ...
Area Under Curve Humans Bayes Theorem Neural Networks, Computer Discriminant Analysis Logistic Models Colonic Neoplasms Support Vector Machine Machine Learning Risk Models, Statistical Sensitivity and Specificity Normal Distribution Regression Analysis Colon Oncogenes Decision Trees Gene Expression Profiling Tissue Array Analysis
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Main factors influencing recovery in MERS Co-V patients using machine learning.

Journal of infection and public health Apr 10, 2019
BACKGROUND: Middle East Respiratory Syndrome (MERS) is a major infectious disease which has affected the Middle Eastern countries, especially the Kingdom of Saudi Arabia (KSA) since 2012. The high mortality rate associated with this disease has been ...
Support Vector Machine Regression Analysis Bayes Theorem Coronavirus Infections Multivariate Analysis Middle East Respiratory Syndrome Coronavirus Humans Survival Machine Learning Severity of Illness Index Health Personnel Saudi Arabia Female Adolescent Aged Child, Preschool Young Adult Child Adult Male Middle Aged Infant
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Active learning using deep Bayesian networks for surgical workflow analysis.

International journal of computer assisted radiology and surgery Apr 9, 2019
PURPOSE: For many applications in the field of computer-assisted surgery, such as providing the position of a tumor, specifying the most probable tool required next by the surgeon or determining the remaining duration of surgery, methods for surgical...
Surgery, Computer-Assisted Machine Learning Algorithms Bayes Theorem Workflow Humans Neural Networks, Computer
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Inverse reinforcement learning for intelligent mechanical ventilation and sedative dosing in intensive care units.

BMC medical informatics and decision making Apr 9, 2019
BACKGROUND: Reinforcement learning (RL) provides a promising technique to solve complex sequential decision making problems in health care domains. To ensure such applications, an explicit reward function encoding domain knowledge should be specified...
Hypnotics and Sedatives Bayes Theorem Critical Care Markov Chains Reinforcement, Psychology Humans Clinical Protocols Machine Learning Retrospective Studies Clinical Decision-Making Respiration, Artificial
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Heterogeneous effects of alveolar recruitment in acute respiratory distress syndrome: a machine learning reanalysis of the Alveolar Recruitment for Acute Respiratory Distress Syndrome Trial.

British journal of anaesthesia Apr 5, 2019
BACKGROUND: Despite a robust physiological rationale, recruitment manoeuvres with PEEP titration were associated with harm in the Alveolar Recruitment for Acute Respiratory Distress Syndrome Trial (ART). We sought to investigate the potential heterog...
Humans Machine Learning Female Aged Middle Aged Adolescent Hospital Mortality Cluster Analysis Respiratory Distress Syndrome Positive-Pressure Respiration Aged, 80 and over Bayes Theorem Young Adult Pulmonary Alveoli Adult Clinical Protocols Male
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Plaque components segmentation in carotid artery on simultaneous non-contrast angiography and intraplaque hemorrhage imaging using machine learning.

Magnetic resonance imaging Apr 5, 2019
PURPOSE: This study sought to determine the feasibility of using Simultaneous Non-contrast Angiography and intraPlaque Hemorrhage (SNAP) to detect the lipid-rich/necrotic core (LRNC), and develop a machine learning based algorithm to segment plaque c...
Male Middle Aged Contrast Media Calcinosis Lipids Female Reproducibility of Results Aged Sensitivity and Specificity Humans Plaque, Atherosclerotic Machine Learning Angiography Algorithms Necrosis Cerebral Hemorrhage Carotid Stenosis Bayes Theorem Plaque, Amyloid Carotid Arteries Carotid Artery, Common
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Smooth Bayesian network model for the prediction of future high-cost patients with COPD.

International journal of medical informatics Apr 4, 2019
INTRODUCTION: The clinical course of chronic obstructive pulmonary disease (COPD) is marked by acute exacerbation events that increase hospitalization rates and healthcare spending. The early identification of future high-cost patients with COPD may ...
Humans Support Vector Machine Bayes Theorem Pulmonary Disease, Chronic Obstructive Machine Learning Cost of Illness Male Female Middle Aged Hospitalization Risk Assessment Aged Disease Progression
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Bayesian QuickNAT: Model uncertainty in deep whole-brain segmentation for structure-wise quality control.

NeuroImage Mar 26, 2019
We introduce Bayesian QuickNAT for the automated quality control of whole-brain segmentation on MRI T1 scans. Next to the Bayesian fully convolutional neural network, we also present inherent measures of segmentation uncertainty that allow for qualit...
Humans Magnetic Resonance Imaging Bayes Theorem Brain Uncertainty Deep Learning Image Processing, Computer-Assisted
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Patient-Specific Seizure Detection Method using Hybrid Classifier with Optimized Electrodes.

Journal of medical systems Mar 26, 2019
In this paper the EEG signal is analyzed by reconstructing the time series EEG signal in High dimensional Phase Space. The computational complexity in higher dimension is reduced by Principal Component Analysis for the High dimensional Phase Space ou...
Humans Epilepsy Support Vector Machine Sensitivity and Specificity Signal Processing, Computer-Assisted Principal Component Analysis Cerebral Cortex Bayes Theorem Electroencephalography
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Deep-learning augmented RNA-seq analysis of transcript splicing.

Nature methods Mar 25, 2019
A major limitation of RNA sequencing (RNA-seq) analysis of alternative splicing is its reliance on high sequencing coverage. We report DARTS (https://github.com/Xinglab/DARTS), a computational framework that integrates deep-learning-based predictions...
RNA Splicing Exons Alternative Splicing Reproducibility of Results Humans Epigenomics Gene Expression Profiling RNA Algorithms Hep G2 Cells High-Throughput Nucleotide Sequencing Deep Learning Models, Statistical Gene Expression Regulation Sequence Analysis, RNA Bayes Theorem K562 Cells Signal Processing, Computer-Assisted
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