AI Medical Compendium Topic:
Bayes Theorem

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Using Sensor Data to Detect Lameness and Mastitis Treatment Events in Dairy Cows: A Comparison of Classification Models.

Sensors (Basel, Switzerland) Jul 10, 2020
The aim of this study was to develop classification models for mastitis and lameness treatments in Holstein dairy cows as the target variables based on continuous data from herd management software with modern machine learning methods. Data was colle...
Dairying Female Sensitivity and Specificity Animals Cattle Mastitis Bayes Theorem Milk Lameness, Animal Machine Learning
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Fully bayesian longitudinal unsupervised learning for the assessment and visualization of AD heterogeneity and progression.

Aging Jul 9, 2020
Tau pathology and brain atrophy are the closest correlate of cognitive decline in Alzheimer's disease (AD). Understanding heterogeneity and longitudinal progression of atrophy during the disease course will play a key role in understanding AD pathoge...
Aged Aged, 80 and over Male Disease Progression Humans Brain Female Bayes Theorem Amyloid beta-Peptides Alzheimer Disease Image Interpretation, Computer-Assisted Longitudinal Studies Magnetic Resonance Imaging Cluster Analysis Unsupervised Machine Learning Atrophy
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Machine learning for pattern detection in cochlear implant FDA adverse event reports.

Cochlear implants international Jul 5, 2020
Medical device performance and safety databases can be analyzed for patterns and novel opportunities for improving patient safety and/or device design. The objective of this analysis was to use supervised machine learning to explore patterns in rep...
Public Reporting of Healthcare Data Child Logistic Models Databases, Factual United States United States Food and Drug Administration Female Humans Bayes Theorem Adult Machine Learning Cochlear Implantation Male Algorithms Equipment Failure Analysis Cochlear Implants
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Realistic simulation of virtual multi-scale, multi-modal patient trajectories using Bayesian networks and sparse auto-encoders.

Scientific reports Jul 3, 2020
Translational research of many disease areas requires a longitudinal understanding of disease development and progression across all biologically relevant scales. Several corresponding studies are now available. However, to compile a comprehensive pi...
Computer Simulation Disease Progression Deep Learning User-Computer Interface Humans Databases, Factual Brain Models, Statistical Bayes Theorem Translational Research, Biomedical Alzheimer Disease Cohort Studies Polymorphism, Single Nucleotide Longitudinal Studies Parkinson Disease
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Energy-efficient and damage-recovery slithering gait design for a snake-like robot based on reinforcement learning and inverse reinforcement learning.

Neural networks : the official journal of the International Neural Network Society Jun 16, 2020
Similar to real snakes in nature, the flexible trunks of snake-like robots enhance their movement capabilities and adaptabilities in diverse environments. However, this flexibility corresponds to a complex control task involving highly redundant degr...
Bayes Theorem Gait Energy Metabolism Reinforcement, Psychology Algorithms Learning Robotics
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Modest Clostridiodes difficile infection prediction using machine learning models in a tertiary care hospital.

Diagnostic microbiology and infectious disease Jun 8, 2020
Previous studies have shown promising results of machine learning (ML) models for predicting health outcomes. We develop and test ML models for predicting Clostridioides difficile infection (CDI) in hospitalized patients. This is a retrospective coho...
Clostridioides difficile Retrospective Studies Humans Female Machine Learning Aged Forecasting Male Anti-Bacterial Agents Area Under Curve Bayes Theorem Tertiary Care Centers Middle Aged Diarrhea ROC Curve Logistic Models Clostridium Infections
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Comparing Machine Learning Algorithms for Predicting Drug-Induced Liver Injury (DILI).

Molecular pharmaceutics Jun 8, 2020
Drug-induced liver injury (DILI) is one the most unpredictable adverse reactions to xenobiotics in humans and the leading cause of postmarketing withdrawals of approved drugs. To date, these drugs have been collated by the FDA to form the DILIRank da...
Chemical and Drug Induced Liver Injury Databases, Pharmaceutical Biopharmaceutics Liver Bayes Theorem Drug-Related Side Effects and Adverse Reactions Drug Approval Humans Machine Learning Software Algorithms Databases, Factual Computer Simulation
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Risk of a second wave of Covid-19 infections: using artificial intelligence to investigate stringency of physical distancing policies in North America.

International orthopaedics Jun 5, 2020
PURPOSE: Accurately forecasting the occurrence of future covid-19-related cases across relaxed (Sweden) and stringent (USA and Canada) policy contexts has a renewed sense of urgency. Moreover, there is a need for a multidimensional county-level appro...
Physical Examination Physical Distancing Betacoronavirus Pneumonia, Viral United States Bayes Theorem Coronavirus Infections SARS-CoV-2 Telemedicine Sweden Risk Factors Humans Canada Artificial Intelligence Pandemics COVID-19
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Implementation of model explainability for a basic brain tumor detection using convolutional neural networks on MRI slices.

Neuroradiology Jun 4, 2020
PURPOSE: While neural networks gain popularity in medical research, attempts to make the decisions of a model explainable are often only made towards the end of the development process once a high predictive accuracy has been achieved.
Humans Neural Networks, Computer Brain Neoplasms Contrast Media Magnetic Resonance Imaging Diagnosis, Differential Glioblastoma Bayes Theorem Image Interpretation, Computer-Assisted Datasets as Topic Neurilemmoma
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Borrowing external information to improve Bayesian confidence propagation neural network.

European journal of clinical pharmacology Jun 1, 2020
PURPOSE: A Bayesian confidence propagation neural network (BCPNN) is a signal detection method used by the World Health Organization Uppsala Monitoring Centre to analyze spontaneous reporting system databases. We modify the BCPNN to increase its sens...
Drug-Related Side Effects and Adverse Reactions Neural Networks, Computer Humans Adverse Drug Reaction Reporting Systems Databases, Factual Computer Simulation Bayes Theorem
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