AIMC Topic: Bayes Theorem

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Bayesian Computation through Cortical Latent Dynamics.

Neuron Jul 15, 2019
Statistical regularities in the environment create prior beliefs that we rely on to optimize our behavior when sensory information is uncertain. Bayesian theory formalizes how prior beliefs can be leveraged and has had a major impact on models of per...
Nerve Net Frontal Lobe Macaca mulatta Time Perception Bayes Theorem Neurons Cerebral Cortex Neural Networks, Computer Animals Cognition
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Concepts of Artificial Intelligence for Computer-Assisted Drug Discovery.

Chemical reviews Jul 11, 2019
Artificial intelligence (AI), and, in particular, deep learning as a subcategory of AI, provides opportunities for the discovery and development of innovative drugs. Various machine learning approaches have recently (re)emerged, some of which may be ...
Bayes Theorem Small Molecule Libraries Algorithms Drug Design Drug Discovery Neural Networks, Computer Artificial Intelligence Machine Learning
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Evaluation and Identification of the Neuroprotective Compounds of Xiaoxuming Decoction by Machine Learning: A Novel Mode to Explore the Combination Rules in Traditional Chinese Medicine Prescription.

BioMed research international Jul 10, 2019
Xiaoxuming decoction (XXMD), a classic traditional Chinese medicine (TCM) prescription, has been used as a therapeutic in the treatment of stroke in clinical practice for over 1200 years. However, the pharmacological mechanisms of XXMD have not yet b...
Neuroprotection Humans Stroke Brain Machine Learning Drugs, Chinese Herbal Hydrogen Peroxide Algorithms Bayes Theorem Medicine, Chinese Traditional
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Wearable IoT Smart-Log Patch: An Edge Computing-Based Bayesian Deep Learning Network System for Multi Access Physical Monitoring System.

Sensors (Basel, Switzerland) Jul 9, 2019
According to the survey on various health centres, smart log-based multi access physical monitoring system determines the health conditions of humans and their associated problems present in their lifestyle. At present, deficiency in significant nutr...
Blood Pressure Bayes Theorem Electroencephalography Electromyography Body Temperature Multimedia Wearable Electronic Devices Humans Electrocardiography Neural Networks, Computer Monitoring, Physiologic Algorithms Deep Learning
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Predicting asthma attacks in primary care: protocol for developing a machine learning-based prediction model.

BMJ open Jul 9, 2019
INTRODUCTION: Asthma is a long-term condition with rapid onset worsening of symptoms ('attacks') which can be unpredictable and may prove fatal. Models predicting asthma attacks require high sensitivity to minimise mortality risk, and high specificit...
Emergency Service, Hospital Bayes Theorem Symptom Flare Up Risk Assessment Primary Health Care Support Vector Machine Scotland Clinical Decision Rules Humans Machine Learning Hospitalization Asthma
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Development of Big Data Predictive Analytics Model for Disease Prediction using Machine learning Technique.

Journal of medical systems Jul 5, 2019
Now days, health prediction in modern life becomesvery much essential. Big data analysis plays a crucial role to predict future status of healthand offerspreeminenthealth outcome to people. Heart disease is a prevalent disease cause's death around th...
Humans Disease Machine Learning Forecasting Middle Aged Female Big Data Aged Bayes Theorem Male
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Compositionally-warped Gaussian processes.

Neural networks : the official journal of the International Neural Network Society Jul 4, 2019
The Gaussian process (GP) is a nonparametric prior distribution over functions indexed by time, space, or other high-dimensional index set. The GP is a flexible model yet its limitation is given by its very nature: it can only model Gaussian marginal...
Bayes Theorem Normal Distribution Neural Networks, Computer
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Development of pedestrian crash prediction model for a developing country using artificial neural network.

International journal of injury control and safety promotion Jul 4, 2019
Urban intersections in India constitute a significant share of pedestrian fatalities. However, model-based prediction of pedestrian fatalities is still in a nascent stage in India. This study proposes an artificial neural network (ANN) technique to d...
Humans Neural Networks, Computer Developing Countries Pedestrians Risk Factors Environment Design Accidents, Traffic Bayes Theorem Safety
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Efficiently searching through large tACS parameter spaces using closed-loop Bayesian optimization.

Brain stimulation Jul 4, 2019
BACKGROUND: Selecting optimal stimulation parameters from numerous possibilities is a major obstacle for assessing the efficacy of non-invasive brain stimulation.
Machine Learning Computer Simulation Female Humans Bayes Theorem Transcranial Direct Current Stimulation Young Adult Phosphenes Adult Male
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Deep learning-based selection of human sperm with high DNA integrity.

Communications biology Jul 3, 2019
Despite the importance of sperm DNA to human reproduction, currently no method exists to assess individual sperm DNA quality prior to clinical selection. Traditionally, skilled clinicians select sperm based on a variety of morphological and motility ...
Bayes Theorem Humans Learning Curve Spermatozoa Neural Networks, Computer Semen Analysis Male Healthy Volunteers Chromatin Deep Learning Normal Distribution DNA Fragmentation DNA
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