AIMC Topic: Bayes Theorem

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Minimizing postprandial hypoglycemia in Type 1 diabetes patients using multiple insulin injections and capillary blood glucose self-monitoring with machine learning techniques.

Computer methods and programs in biomedicine Jun 27, 2019
BACKGROUND: Diabetic patients treated with intensive insulin therapies require a tight glycemic control and may benefit from advanced tools to predict blood glucose (BG) concentration levels and hypo/hyperglycemia events. Prediction systems using mac...
Blood Glucose Self-Monitoring Capillaries Computer Simulation False Positive Reactions Adult Retrospective Studies Bayes Theorem Normal Distribution Sensitivity and Specificity Female Hypoglycemia Insulin Infusion Systems Male Postprandial Period Blood Glucose Reproducibility of Results Middle Aged Insulin Humans Diabetes Mellitus, Type 1 Machine Learning Hypoglycemic Agents Algorithms
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Computer-Aided Diagnosis and Clinical Trials of Cardiovascular Diseases Based on Artificial Intelligence Technologies for Risk-Early Warning Model.

Journal of medical systems Jun 13, 2019
The use of artificial intelligence in medicine is currently an issue of great interest, especially with regard to the diagnostic or predictive analysis of medical data. In order to achieve the regional medical and public health data analysis through ...
Humans Artificial Intelligence Prognosis Risk Assessment Severity of Illness Index Diagnosis, Computer-Assisted Logistic Models Support Vector Machine Chronic Disease Acute Disease Bayes Theorem Stroke Heart Failure Data Mining Renal Insufficiency
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Enhancing ontology-driven diagnostic reasoning with a symptom-dependency-aware Naïve Bayes classifier.

BMC bioinformatics Jun 13, 2019
BACKGROUND: Ontology has attracted substantial attention from both academia and industry. Handling uncertainty reasoning is important in researching ontology. For example, when a patient is suffering from cirrhosis, the appearance of abdominal vein v...
Disease Diagnostic Techniques and Procedures Humans Algorithms Electronic Health Records ROC Curve Area Under Curve Bayes Theorem Knowledge Bases Probability
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Using machine learning to predict one-year cardiovascular events in patients with severe dilated cardiomyopathy.

European journal of radiology Jun 11, 2019
PURPOSE: Dilated cardiomyopathy (DCM) is a common form of cardiomyopathy and it is associated with poor outcomes. A poor prognosis of DCM patients with low ejection fraction has been noted in the short-term follow-up. Machine learning (ML) could aid ...
Bayes Theorem Cardiomyopathy, Dilated Male Middle Aged ROC Curve Prognosis Female Aged Adult Humans Machine Learning Algorithms
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Discriminant analysis and machine learning approach for evaluating and improving the performance of immunohistochemical algorithms for COO classification of DLBCL.

Journal of translational medicine Jun 11, 2019
BACKGROUND: Diffuse large B-cell lymphoma (DLBCL) is classified into germinal center-like (GCB) and non-germinal center-like (non-GCB) cell-of-origin groups, entities driven by different oncogenic pathways with different clinical outcomes. DLBCL clas...
Discriminant Analysis B-Lymphocytes Immunohistochemistry Germinal Center Aged, 80 and over Adult Lymphoma, Large B-Cell, Diffuse Male Middle Aged Gene Expression Profiling Decision Trees Bayes Theorem Machine Learning Algorithms Female Aged Humans
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Cascade interpolation learning with double subspaces and confidence disturbance for imbalanced problems.

Neural networks : the official journal of the International Neural Network Society Jun 8, 2019
In this paper, a new ensemble framework named Cascade Interpolation Learning with Double subspaces and Confidence disturbance (CILDC) is designed for the imbalanced classification problems. Developed from the Cascade Forest of the Deep Forest which i...
Bayes Theorem Machine Learning Algorithms
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Complementing the power of deep learning with statistical model fusion: Probabilistic forecasting of influenza in Dallas County, Texas, USA.

Epidemics Jun 8, 2019
Influenza is one of the main causes of death, not only in the USA but worldwide. Its significant economic and public health impacts necessitate development of accurate and efficient algorithms for forecasting of any upcoming influenza outbreaks. Most...
Humans Forecasting Public Health Disease Outbreaks Texas Deep Learning Models, Statistical Bayes Theorem Influenza, Human
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Modeling longitudinal imaging biomarkers with parametric Bayesian multi-task learning.

Human brain mapping Jun 5, 2019
Longitudinal imaging biomarkers are invaluable for understanding the course of neurodegeneration, promising the ability to track disease progression and to detect disease earlier than cross-sectional biomarkers. To properly realize their potential, b...
Humans Machine Learning Biomarkers Neuroimaging Cerebral Cortex Magnetic Resonance Imaging Computer Simulation Bayes Theorem Models, Theoretical Alzheimer Disease Longitudinal Studies Datasets as Topic
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Applying Deep Neural Networks and Ensemble Machine Learning Methods to Forecast Airborne Pollen.

International journal of environmental research and public health Jun 4, 2019
Allergies to airborne pollen are a significant issue affecting millions of Americans. Consequently, accurately predicting the daily concentration of airborne pollen is of significant public benefit in providing timely alerts. This study presents a me...
Allergens Antigens, Plant Ambrosia Neural Networks, Computer Machine Learning Forecasting Plant Extracts Bayes Theorem Weather
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Error Tolerance of Machine Learning Algorithms across Contemporary Biological Targets.

Molecules (Basel, Switzerland) Jun 4, 2019
Machine learning continues to make strident advances in the prediction of desired properties concerning drug development. Problematically, the efficacy of machine learning in these arenas is reliant upon highly accurate and abundant data. These two l...
Neural Networks, Computer Machine Learning Algorithms Reproducibility of Results Humans Bayes Theorem Workflow Models, Biological Molecular Targeted Therapy Biomarkers, Tumor Drug Discovery Antineoplastic Agents ROC Curve
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