AIMC Topic: Bayes Theorem

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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...
Humans Neural Networks, Computer Machine Learning Algorithms Bayes Theorem Workflow Surgery, Computer-Assisted
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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...
Markov Chains Reinforcement, Psychology Clinical Protocols Respiration, Artificial Humans Hypnotics and Sedatives Machine Learning Bayes Theorem Critical Care Retrospective Studies Clinical Decision-Making
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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...
Young Adult Adult Male Middle Aged Machine Learning Female Aged Aged, 80 and over Positive-Pressure Respiration Bayes Theorem Pulmonary Alveoli Clinical Protocols Adolescent Hospital Mortality Cluster Analysis Respiratory Distress Syndrome Humans
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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...
Contrast Media Calcinosis Lipids Cerebral Hemorrhage Aged Sensitivity and Specificity Male Middle Aged Angiography Necrosis Carotid Stenosis Humans Plaque, Amyloid Machine Learning Bayes Theorem Algorithms Carotid Arteries Female Carotid Artery, Common Reproducibility of Results Plaque, Atherosclerotic
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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 ...
Disease Progression Support Vector Machine Bayes Theorem Cost of Illness Pulmonary Disease, Chronic Obstructive Male Middle Aged Risk Assessment Humans Machine Learning Female Hospitalization Aged
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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...
Image Processing, Computer-Assisted Magnetic Resonance Imaging Bayes Theorem Uncertainty Humans Brain Deep Learning
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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...
Support Vector Machine Humans Epilepsy 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...
Humans Exons Algorithms Alternative Splicing Reproducibility of Results High-Throughput Nucleotide Sequencing Gene Expression Profiling Gene Expression Regulation K562 Cells RNA Splicing Models, Statistical Deep Learning Bayes Theorem Sequence Analysis, RNA Signal Processing, Computer-Assisted Epigenomics RNA Hep G2 Cells
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Identifying progressive CKD from healthy population using Bayesian network and artificial intelligence: A worksite-based cohort study.

Scientific reports Mar 25, 2019
Identifying progressive early chronic kidney disease (CKD) patients at a health checkup is a good opportunity to improve their prognosis. However, it is difficult to identify them using common health tests. This worksite-based cohort study for 7 year...
Humans Glomerular Filtration Rate Kidney Function Tests Bayes Theorem Male Artificial Intelligence Prognosis Middle Aged Female Disease Progression Adult Renal Insufficiency, Chronic
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Bayesian Networks for Risk Prediction Using Real-World Data: A Tool for Precision Medicine.

Value in health : the journal of the International Society for Pharmacoeconomics and Outcomes Research Mar 15, 2019
OBJECTIVE: The fields of medicine and public health are undergoing a data revolution. An increasing availability of data has brought about a growing interest in machine-learning algorithms. Our objective is to present the reader with an introduction ...
Models, Statistical Data Interpretation, Statistical Risk Factors Heart Diseases Humans Risk Assessment Bayes Theorem Machine Learning Neoplasms Data Mining Precision Medicine Treatment Outcome
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