AIMC Topic: Bayes Theorem

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Prediction of coronary thin-cap fibroatheroma by intravascular ultrasound-based machine learning.

Atherosclerosis May 4, 2019
BACKGROUND AND AIMS: Although grayscale intravascular ultrasound (IVUS) is commonly used for assessing coronary lesion morphology and optimizing stent implantation, detection of vulnerable plaques by IVUS remains challenging. We aimed to develop mach...
Fibrosis Image Interpretation, Computer-Assisted Coronary Vessels Rupture, Spontaneous Plaque, Atherosclerotic Tomography, Optical Coherence Bayes Theorem Ultrasonography, Interventional Coronary Artery Disease Coronary Stenosis Reproducibility of Results Risk Factors Aged Male Humans Middle Aged Neural Networks, Computer Risk Assessment Machine Learning Disease Progression Female Diagnosis, Computer-Assisted Predictive Value of Tests
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A Novel Internet of Things Framework Integrated with Real Time Monitoring for Intelligent Healthcare Environment.

Journal of medical systems May 3, 2019
During mammogram screening, there is a higher probability that detection of cancers is missed, and more than 16 percentage of breast cancer is not detected by radiologists. This problem can be solved by employing image processing algorithms which enh...
Humans Diagnosis, Computer-Assisted Image Processing, Computer-Assisted Neural Networks, Computer Support Vector Machine Algorithms Mammography Breast Neoplasms Bayes Theorem
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Predicting Growth and Carcass Traits in Swine Using Microbiome Data and Machine Learning Algorithms.

Scientific reports Apr 25, 2019
In this paper, we evaluated the power of microbiome measures taken at three time points over the growth test period (weaning, 15 and 22 weeks) to foretell growth and carcass traits in 1039 individuals of a line of crossbred pigs. We measured predicti...
Meat Breeding Female Animals Male Swine Bayes Theorem Machine Learning Algorithms
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Exploiting machine learning for end-to-end drug discovery and development.

Nature materials Apr 18, 2019
A variety of machine learning methods such as naive Bayesian, support vector machines and more recently deep neural networks are demonstrating their utility for drug discovery and development. These leverage the generally bigger datasets created from...
Humans Neural Networks, Computer Machine Learning Algorithms Computer Simulation Drug Design Drug Discovery Bayes Theorem Computational Biology Nanomedicine Drug Development Technology, Pharmaceutical Support Vector Machine Drug Repositioning
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Approximating the Ideal Observer and Hotelling Observer for Binary Signal Detection Tasks by Use of Supervised Learning Methods.

IEEE transactions on medical imaging Apr 15, 2019
It is widely accepted that the optimization of medical imaging system performance should be guided by task-based measures of image quality (IQ). Task-based measures of IQ quantify the ability of an observer to perform a specific task, such as detecti...
Diagnostic Imaging Databases, Factual Bayes Theorem Signal Processing, Computer-Assisted Image Processing, Computer-Assisted Supervised Machine Learning
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Learning Moral Graphs in Construction of High-Dimensional Bayesian Networks for Mixed Data.

Neural computation Apr 12, 2019
Bayesian networks have been widely used in many scientific fields for describing the conditional independence relationships for a large set of random variables. This letter proposes a novel algorithm, the so-called -learning algorithm, for learning m...
Bayes Theorem Humans Neural Networks, Computer Algorithms
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Predicting daily outcomes in acetaminophen-induced acute liver failure patients with machine learning techniques.

Computer methods and programs in biomedicine Apr 11, 2019
BACKGROUND/OBJECTIVE: Assessing prognosis for acetaminophen-induced acute liver failure (APAP-ALF) patients during the first week of hospitalization often presents significant challenges. Current models such as the King's College Criteria (KCC) and t...
Prognosis Acetaminophen Liver Failure, Acute Retrospective Studies Female Humans Predictive Value of Tests Adult Machine Learning Area Under Curve Male Sensitivity and Specificity Databases, Factual Bayes Theorem Middle Aged Registries Severity of Illness Index Linear Models ROC Curve Treatment Outcome
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Application of Artificial Intelligence for Preoperative Diagnostic and Prognostic Prediction in Epithelial Ovarian Cancer Based on Blood Biomarkers.

Clinical cancer research : an official journal of the American Association for Cancer Research Apr 11, 2019
PURPOSE: We aimed to develop an ovarian cancer-specific predictive framework for clinical stage, histotype, residual tumor burden, and prognosis using machine learning methods based on multiple biomarkers.
Support Vector Machine Ovarian Neoplasms Bayes Theorem Neoplasm Staging Adult Neoplasm Grading Humans Carcinoma, Ovarian Epithelial Survival Rate Neural Networks, Computer Preoperative Care Biomarkers, Tumor Female Artificial Intelligence Middle Aged Aged Machine Learning ROC Curve Aged, 80 and over Algorithms Young Adult Prognosis
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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 ...
Regression Analysis Decision Trees Tissue Array Analysis Area Under Curve Colon Discriminant Analysis Bayes Theorem Gene Expression Profiling Colonic Neoplasms Logistic Models Humans Risk Support Vector Machine Neural Networks, Computer Normal Distribution Models, Statistical Machine Learning Oncogenes Sensitivity and Specificity
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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 ...
Adult Male Middle Aged Infant Severity of Illness Index Health Personnel Female Aged Young Adult Regression Analysis Bayes Theorem Coronavirus Infections Multivariate Analysis Middle East Respiratory Syndrome Coronavirus Saudi Arabia Adolescent Child, Preschool Child Support Vector Machine Humans Machine Learning Survival
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