AIMC Topic: Bayes Theorem

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Predicting Chronic Kidney Disease Using Hybrid Machine Learning Based on Apache Spark.

Computational intelligence and neuroscience Feb 23, 2022
Chronic kidney disease (CKD) has become a widespread disease among people. It is related to various serious risks like cardiovascular disease, heightened risk, and end-stage renal disease, which can be feasibly avoidable by early detection and treatm...
Support Vector Machine Bayes Theorem Machine Learning Humans Algorithms Renal Insufficiency, Chronic
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Significance of Visible Non-Invasive Risk Attributes for the Initial Prediction of Heart Disease Using Different Machine Learning Techniques.

Computational intelligence and neuroscience Feb 21, 2022
INTRODUCTION: Heart disease is emerging as the single most critical cause of death worldwide and is one of the costliest chronic conditions.
Machine Learning Reproducibility of Results Humans Heart Diseases Support Vector Machine Bayes Theorem
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An Online Weighted Bayesian Fuzzy Clustering Method for Large Medical Data Sets.

Computational intelligence and neuroscience Feb 21, 2022
With the rapid development of artificial intelligence, various medical devices and wearable devices have emerged, enabling people to collect various health data of themselves in hospitals or other places. This has led to a substantial increase in the...
Algorithms Fuzzy Logic Bayes Theorem Cluster Analysis Humans Artificial Intelligence
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Mental speed is high until age 60 as revealed by analysis of over a million participants.

Nature human behaviour Feb 17, 2022
Response speeds in simple decision-making tasks begin to decline from early and middle adulthood. However, response times are not pure measures of mental speed but instead represent the sum of multiple processes. Here we apply a Bayesian diffusion mo...
Young Adult Adult Cross-Sectional Studies Humans Neural Networks, Computer Reaction Time Middle Aged Bayes Theorem
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Reconstruction of a Fully Paralleled Auditory Spiking Neural Network and FPGA Implementation.

IEEE transactions on biomedical circuits and systems Feb 17, 2022
This paper presents a field-programmable gate array (FPGA) implementation of an auditory system, which is biologically inspired and has the advantages of robustness and anti-noise ability. We propose an FPGA implementation of an eleven-channel hierar...
Neurons Brain Computers Humans Bayes Theorem Neural Networks, Computer
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Associations Between Different Dietary Vitamins and the Risk of Obesity in Children and Adolescents: A Machine Learning Approach.

Frontiers in endocrinology Feb 17, 2022
BACKGROUNDS: Simultaneous dietary intake of vitamins is considered as a common and real scenario in daily life. However, limited prospective studies have evaluated the association between multivitamins intake and obesity in children and adolescents.
Vitamin A Adolescent Prospective Studies Bayes Theorem Child Vitamin B 12 Humans Cross-Sectional Studies Vitamins Pediatric Obesity Nutrition Surveys Vitamin K Machine Learning Vitamin D
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Deep learning model for multi-classification of infectious diseases from unstructured electronic medical records.

BMC medical informatics and decision making Feb 16, 2022
PURPOSE: Predictively diagnosing infectious diseases helps in providing better treatment and enhances the prevention and control of such diseases. This study uses actual data from a hospital. A multiple infectious disease diagnostic model (MIDDM) is ...
Humans Electronic Health Records Neural Networks, Computer Deep Learning Communicable Diseases Bayes Theorem
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Regional Economic Prediction Model Using Backpropagation Integrated with Bayesian Vector Neural Network in Big Data Analytics.

Computational intelligence and neuroscience Feb 16, 2022
Forecasting economic growth is critical for formulating national economic development policies. Neural Networks are a type of artificial intelligence that may be used to model complex target functions. ANN (Artificial Neural Networks) are one of the ...
Bayes Theorem Forecasting Data Science Artificial Intelligence Algorithms Neural Networks, Computer
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Terahertz signal analysis and substance identification via Zernike moments.

Spectrochimica acta. Part A, Molecular and biomolecular spectroscopy Feb 15, 2022
Terahertz (THz) spectra contain chemical information, along with noise and variable backgrounds. Measurement environmental changes and spectral signal differences caused by changes in the sample state can degrade the accuracy of the calibration model...
Support Vector Machine Discriminant Analysis Terahertz Spectroscopy Bayes Theorem
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A machine learning approach based on ACMG/AMP guidelines for genomic variant classification and prioritization.

Scientific reports Feb 15, 2022
Genomic variant interpretation is a critical step of the diagnostic procedure, often supported by the application of tools that may predict the damaging impact of each variant or provide a guidelines-based classification. We propose the application o...
Humans Machine Learning Practice Guidelines as Topic Genome, Human Genetic Variation High-Throughput Nucleotide Sequencing Genomics Genetic Predisposition to Disease Computer Simulation Bayes Theorem Logistic Models Software Neoplasms Genetic Testing Research Design Cohort Studies
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