AIMC Topic:
Bayes Theorem

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Impact of Sliding Window Length in Indoor Human Motion Modes and Pose Pattern Recognition Based on Smartphone Sensors.

Sensors (Basel, Switzerland) Jun 18, 2018
Human activity recognition (HAR) is essential for understanding people’s habits and behaviors, providing an important data source for precise marketing and research in psychology and sociology. Different approaches have been proposed and applie...
Support Vector Machine Humans Posture Machine Learning Smartphone Bayes Theorem Pattern Recognition, Automated Movement
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Fetal health status prediction based on maternal clinical history using machine learning techniques.

Computer methods and programs in biomedicine Jun 14, 2018
BACKGROUND AND OBJECTIVE: Congenital anomalies are seen at 1-3% of the population, probabilities of which are tried to be found out primarily through double, triple and quad tests during pregnancy. Also, ultrasonographical evaluations of fetuses enha...
Diagnosis, Computer-Assisted ROC Curve Mobile Applications Logistic Models Pregnancy Female Reproducibility of Results Ultrasonography, Prenatal Area Under Curve Bayes Theorem Internet Telemedicine Fetus Support Vector Machine Health Status Regression Analysis Decision Trees Humans Machine Learning Algorithms Perception Congenital Abnormalities
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Artificial Intelligence: Bayesian versus Heuristic Method for Diagnostic Decision Support.

Applied clinical informatics Jun 13, 2018
Evoking strength is one of the important contributions of the field of Biomedical Informatics to the discipline of Artificial Intelligence. The University at Buffalo's Orthopedics Department wanted to create an expert system to assist patients with s...
Decision Support Systems, Clinical Bayes Theorem Internet Artificial Intelligence Humans Infant Young Adult Orthopedics Heuristics Female Adult Adolescent Aged Male Child, Preschool Aged, 80 and over Middle Aged Child
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Using Emulation to Engineer and Understand Simulations of Biological Systems.

IEEE/ACM transactions on computational biology and bioinformatics Jun 7, 2018
Modeling and simulation techniques have demonstrated success in studying biological systems. As the drive to better capture biological complexity leads to more sophisticated simulators, it becomes challenging to perform statistical analyses that help...
Algorithms Computer Simulation Systems Biology Bayes Theorem Machine Learning Models, Biological
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Unsupervised Bayesian Inference to Fuse Biosignal Sensory Estimates for Personalizing Care.

IEEE journal of biomedical and health informatics Jun 5, 2018
The role of sensing technologies, such as wearables, in delivering precision care is becoming widely acceptable. Given the very large quantities of sensor data that rapidly accumulate, there is a need to employ automated algorithms to label biosignal...
Unsupervised Machine Learning Bayes Theorem Medical Informatics Young Adult Adult Child, Preschool Databases, Factual Infant Child Humans Precision Medicine Male Adolescent Models, Statistical Algorithms Female Middle Aged Aged
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Forewarning of hypotensive events using a Bayesian artificial neural network in neurocritical care.

Journal of clinical monitoring and computing May 24, 2018
Traumatically brain injured (TBI) patients are at risk from secondary insults. Arterial hypotension, critically low blood pressure, is one of the most dangerous secondary insults and is related to poor outcome in patients. The overall aim of this stu...
Prospective Studies Intensive Care Units Female Aged Adult Sensitivity and Specificity Male Aged, 80 and over Young Adult Neural Networks, Computer Machine Learning Software Databases, Factual Humans Bayes Theorem Signal Processing, Computer-Assisted Hypotension Critical Care Brain Injuries, Traumatic Middle Aged Brain Injuries Diagnosis, Computer-Assisted Area Under Curve False Positive Reactions Pilot Projects Sample Size Adolescent
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Sequentially distant but structurally similar proteins exhibit fold specific patterns based on their biophysical properties.

Computational biology and chemistry May 16, 2018
The Three-dimensional structure of a protein depends on the interaction between their amino acid residues. These interactions are in turn influenced by various biophysical properties of the amino acids. There are several examples of proteins that sha...
Protein Conformation Protein Folding Proteins Models, Molecular Bayes Theorem Support Vector Machine
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Using Bayesian dynamical systems, model averaging and neural networks to determine interactions between socio-economic indicators.

PloS one May 9, 2018
Social and economic systems produce complex and nonlinear relationships in the indicator variables that describe them. We present a Bayesian methodology to analyze the dynamical relationships between indicator variables by identifying the nonlinear f...
Bayes Theorem Neural Networks, Computer Linear Models Computer Simulation Democracy Socioeconomic Factors Models, Statistical
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Deep generative learning for automated EHR diagnosis of traditional Chinese medicine.

Computer methods and programs in biomedicine May 4, 2018
BACKGROUND: Computer-aided medical decision-making (CAMDM) is the method to utilize massive EMR data as both empirical and evidence support for the decision procedure of healthcare activities. Well-developed information infrastructure, such as hospit...
Models, Statistical Bayes Theorem Information Storage and Retrieval Electronic Health Records Clinical Decision-Making Deep Learning Support Vector Machine Medicine, Chinese Traditional Humans Algorithms Computer Simulation
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A fresh look at functional link neural network for motor imagery-based brain-computer interface.

Journal of neuroscience methods May 4, 2018
BACKGROUND: Artificial neural networks (ANNs) are one of the widely used classifiers in the brain-computer interface (BCI) systems-based on noninvasive electroencephalography (EEG) signals. Among the different ANN architectures, the most commonly app...
Signal Processing, Computer-Assisted Linear Models Brain-Computer Interfaces Motor Activity Imagination Brain Support Vector Machine Bayes Theorem Electroencephalography Humans Neural Networks, Computer
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