AIMC Topic:
Bayes Theorem

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PREDICTIVE MODELING OF HOSPITAL READMISSION RATES USING ELECTRONIC MEDICAL RECORD-WIDE MACHINE LEARNING: A CASE-STUDY USING MOUNT SINAI HEART FAILURE COHORT.

Pacific Symposium on Biocomputing. Pacific Symposium on Biocomputing Jan 1, 2017
Reduction of preventable hospital readmissions that result from chronic or acute conditions like stroke, heart failure, myocardial infarction and pneumonia remains a significant challenge for improving the outcomes and decreasing the cost of healthca...
Machine Learning Algorithms Electronic Health Records Humans Bayes Theorem Heart Failure Patient Readmission New York City Cohort Studies Computational Biology Models, Statistical
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[Research on Clinical Electrocardiogram Classification Algorithm Based on Ensemble Learning].

Sheng wu yi xue gong cheng xue za zhi = Journal of biomedical engineering = Shengwu yixue gongchengxue zazhi Oct 1, 2016
With the increasing number of electrocardiogram(ECG)data,extensive application requirements of computer-aided ECG analysis have occurred.In the paper,we propose a variety of strategies to improve the performance of clinical ECG classification algorit...
Electrocardiography Bayes Theorem Humans Neural Networks, Computer Machine Learning Algorithms ROC Curve
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Classification of EEG based-mental fatigue using principal component analysis and Bayesian neural network.

Annual International Conference of the IEEE Engineering in Medicine and Biology Society. IEEE Engineering in Medicine and Biology Society. Annual International Conference Aug 1, 2016
This paper presents an electroencephalography (EEG) based-classification of between pre- and post-mental load tasks for mental fatigue detection from 65 healthy participants. During the data collection, eye closed and eye open tasks were collected be...
Neural Networks, Computer Algorithms Aged Humans Adolescent Principal Component Analysis Bayes Theorem Young Adult Adult Middle Aged Electroencephalography Signal Processing, Computer-Assisted Mental Fatigue
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Decentralized Multisensory Information Integration in Neural Systems.

The Journal of neuroscience : the official journal of the Society for Neuroscience Jan 13, 2016
UNLABELLED: How multiple sensory cues are integrated in neural circuitry remains a challenge. The common hypothesis is that information integration might be accomplished in a dedicated multisensory integration area receiving feedforward inputs from t...
Electronic Data Processing Neural Pathways Computer Simulation Animals Models, Neurological Humans Bayes Theorem Neural Networks, Computer Neurons Sensation
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Health Data Entanglement and artificial intelligence-based analysis: a brand new methodology to improve the effectiveness of healthcare services.

La Clinica terapeutica Jan 1, 2016
Healthcare expenses will be the most relevant policy issue for most governments in the EU and in the USA. This expenditure can be associated with two major key categories: demographic and economic drivers. Factors driving healthcare expenditure were ...
Bayes Theorem Humans Artificial Intelligence Delivery of Health Care
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5-Year Trends in QSAR and its Machine Learning Methods.

Current computer-aided drug design Jan 1, 2016
BACKGROUND: Quantitative Structure-Activity Relationships (QSAR) is a well-established branch of computational chemistry. The presence of QSAR papers is decreasing for the last few years.
Humans Linear Models Bayes Theorem Time Factors Machine Learning Quantitative Structure-Activity Relationship Periodicals as Topic Bibliometrics Computer Simulation Diffusion of Innovation Models, Molecular Animals
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Classification of Human Pregnane X Receptor (hPXR) Activators and Non-Activators by Machine Learning Techniques: A Multifaceted Approach.

Combinatorial chemistry & high throughput screening Jan 1, 2016
The Human Pregnane X Receptor (hPXR) is a regulator of drug metabolising enzymes (DME) and efflux transporters (ET). The prediction of hPXR activators and non-activators has pharmaceutical importance to predict the multiple drug resistance (MDR) and ...
Drug Resistance, Multiple Humans Receptors, Steroid Pregnane X Receptor Bayes Theorem Drug Interactions Pregnanes Machine Learning Support Vector Machine
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Human-level concept learning through probabilistic program induction.

Science (New York, N.Y.) Dec 11, 2015
People learning new concepts can often generalize successfully from just a single example, yet machine learning algorithms typically require tens or hundreds of examples to perform with similar accuracy. People can also use learned concepts in richer...
Concept Formation Generalization, Psychological Algorithms Computer Simulation Bayes Theorem Humans Machine Learning
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Part 1. Statistical Learning Methods for the Effects of Multiple Air Pollution Constituents.

Research report (Health Effects Institute) Jun 1, 2015
INTRODUCTION: The United States Environmental Protection Agency (U.S. EPA*) currently regulates individual air pollutants on a pollutant-by-pollutant basis, adjusted for other pollutants and potential confounders. However, the National Academies of S...
United States Environmental Protection Agency Data Interpretation, Statistical Humans Prospective Studies Dogs Artificial Intelligence Air Pollution Air Pollutants Animals Computer Simulation Respiratory Tract Diseases Bayes Theorem Particulate Matter United States Aged Hazardous Substances Environmental Exposure Environmental Monitoring
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Probabilistic machine learning and artificial intelligence.

Nature May 28, 2015
How can a machine learn from experience? Probabilistic modelling provides a framework for understanding what learning is, and has therefore emerged as one of the principal theoretical and practical approaches for designing machines that learn from da...
Uncertainty Automation Artificial Intelligence Statistics, Nonparametric Data Compression Models, Statistical Bayes Theorem
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