AIMC Topic: Bayes Theorem

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Personalized oncology with artificial intelligence: The case of temozolomide.

Artificial intelligence in medicine Aug 12, 2019
PURPOSE: Using artificial intelligence techniques, we compute optimal personalized protocols for temozolomide administration in a population of patients with variability.
Models, Biological Tumor Burden Maximum Tolerated Dose Temozolomide Computer Simulation Brain Neoplasms Dose-Response Relationship, Drug Bayes Theorem Humans Artificial Intelligence Algorithms
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Network as a Biomarker: A Novel Network-Based Sparse Bayesian Machine for Pathway-Driven Drug Response Prediction.

Genes Aug 9, 2019
With the advances in different biological networks including gene regulation, gene co-expression, protein-protein interaction networks, and advanced approaches for network reconstruction, analysis, and interpretation, it is possible to discover relia...
Bayes Theorem Drug Resistance, Neoplasm Humans Machine Learning Cell Line, Tumor Gene Regulatory Networks
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Deep learning how to fit an intravoxel incoherent motion model to diffusion-weighted MRI.

Magnetic resonance in medicine Aug 7, 2019
PURPOSE: This prospective clinical study assesses the feasibility of training a deep neural network (DNN) for intravoxel incoherent motion (IVIM) model fitting to diffusion-weighted MRI (DW-MRI) data and evaluates its performance.
Humans Algorithms Spleen Image Processing, Computer-Assisted Adult Diffusion Magnetic Resonance Imaging Least-Squares Analysis Kidney Prospective Studies Male Motion Liver Computer Simulation Middle Aged Image Interpretation, Computer-Assisted Bayes Theorem Reproducibility of Results Deep Learning Pancreas
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Machine learning to predict cardiovascular risk.

International journal of clinical practice Aug 4, 2019
AIMS: To analyse the predictive capacity of 15 machine learning methods for estimating cardiovascular risk in a cohort and to compare them with other risk scales.
Algorithms Female Risk Factors Male Humans Machine Learning Predictive Value of Tests Area Under Curve Bayes Theorem Spain Cardiovascular Diseases Middle Aged Cohort Studies Follow-Up Studies
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Probabilistic associative learning suffices for learning the temporal structure of multiple sequences.

PloS one Aug 1, 2019
From memorizing a musical tune to navigating a well known route, many of our underlying behaviors have a strong temporal component. While the mechanisms behind the sequential nature of the underlying brain activity are likely multifarious and multi-s...
Association Learning Action Potentials Bayes Theorem Humans Memory Neural Networks, Computer Mental Recall Models, Neurological
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Electroencephalogram Spectral Moments for the Detection of Nocturnal Hypoglycemia.

IEEE journal of biomedical and health informatics Jul 29, 2019
Hypoglycemia or low blood glucose is the most feared complication of insulin treatment of diabetes. For people with diabetes, the mismatch between the insulin therapy and the body's physiology could increase the risk of hypoglycemia. Nocturnal hypogl...
Hypoglycemia Sleep Brain Waves Humans Diabetes Mellitus, Type 1 Sensitivity and Specificity Neural Networks, Computer Bayes Theorem Diagnosis, Computer-Assisted Algorithms Electroencephalography Adolescent Child
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Artificial intelligence for precision education in radiology.

The British journal of radiology Jul 26, 2019
In the era of personalized medicine, the emphasis of health care is shifting from populations to individuals. Artificial intelligence (AI) is capable of learning without explicit instruction and has emerging applications in medicine, particularly rad...
Humans Artificial Intelligence Clinical Competence Radiology Bayes Theorem Education, Medical, Graduate Teaching Materials Simulation Training Teaching
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Targeting HIV/HCV Coinfection Using a Machine Learning-Based Multiple Quantitative Structure-Activity Relationships (Multiple QSAR) Method.

International journal of molecular sciences Jul 22, 2019
Human immunodeficiency virus type-1 and hepatitis C virus (HIV/HCV) coinfection occurs when a patient is simultaneously infected with both human immunodeficiency virus type-1 (HIV-1) and hepatitis C virus (HCV), which is common today in certain popul...
Databases, Pharmaceutical Polypharmacology Hepatitis C HIV-1 Molecular Conformation Quantitative Structure-Activity Relationship Molecular Structure Bayes Theorem Hepacivirus Humans Anti-HIV Agents Antiviral Agents Machine Learning Protein Binding Algorithms Models, Molecular Drug Discovery HIV Infections
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Clinically Applicable Deep Learning Algorithm Using Quantitative Proteomic Data.

Journal of proteome research Jul 17, 2019
Deep learning (DL), a type of machine learning approach, is a powerful tool for analyzing large sets of data that are derived from biomedical sciences. However, it remains unknown whether DL is suitable for identifying contributing factors, such as b...
Support Vector Machine Mass Spectrometry Cluster Analysis Pancreatic Neoplasms Bayes Theorem Algorithms Deep Learning Logistic Models Humans Proteomics Machine Learning
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Development and validation of 15-month mortality prediction models: a retrospective observational comparison of machine-learning techniques in a national sample of Medicare recipients.

BMJ open Jul 16, 2019
OBJECTIVE: The objective is to develop and validate a predictive model for 15-month mortality using a random sample of community-dwelling Medicare beneficiaries.
Mortality Aged, 80 and over Neural Networks, Computer Male Machine Learning Logistic Models Humans Female Models, Statistical United States Aged Decision Trees Bayes Theorem Medicare
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