AIMC Topic: Probability

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A New Wavelet-Based Privatization Mechanism for Probability Distributions.

Sensors (Basel, Switzerland) May 14, 2022
In this paper, we propose a new privatization mechanism based on a naive theory of a perturbation on a probability using wavelets, such as a noise perturbs the signal of a digital image sensor. Wavelets are employed to extract information from a wide...
Probability Privatization Machine Learning Algorithms Artificial Intelligence
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Continuous-time probabilistic models for longitudinal electronic health records.

Journal of biomedical informatics May 7, 2022
Analysis of longitudinal Electronic Health Record (EHR) data is an important goal for precision medicine. Difficulty in applying Machine Learning (ML) methods, either predictive or unsupervised, stems in part from the heterogeneity and irregular samp...
Humans Electronic Health Records Models, Statistical Probability Machine Learning Algorithms
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Robots as models of evolving systems.

Proceedings of the National Academy of Sciences of the United States of America Mar 17, 2022
Experimental robobiological physics can bring insights into biological evolution. We present a development of hybrid analog/digital autonomous robots with mutable diploid dominant/recessive 6-byte genomes. The robots are capable of death, rebirth, an...
Robotics Population Dynamics Mutation Animals Models, Genetic Selection, Genetic Mammals Probability
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Challenges and Opportunities for Bayesian Statistics in Proteomics.

Journal of proteome research Mar 8, 2022
Proteomics is a data-rich science with complex experimental designs and an intricate measurement process. To obtain insights from the large data sets produced, statistical methods, including machine learning, are routinely applied. For a quantity of ...
Machine Learning Proteomics Uncertainty Bayes Theorem Probability
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Developing stacking ensemble models for multivariate contamination detection in water distribution systems.

The Science of the total environment Mar 2, 2022
This study presents a new stacking ensemble model for contamination event detection using multiple water quality parameters. The stacking model consists of a number of machine learning base predictors and a meta-predictor, and it is trained using cro...
Machine Learning Bayes Theorem Neural Networks, Computer Water Quality Probability
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The research of ARIMA, GM(1,1), and LSTM models for prediction of TB cases in China.

PloS one Feb 23, 2022
BACKGROUND AND OBJECTIVE: Tuberculosis (Tuberculosis, TB) is a public health problem in China, which not only endangers the population's health but also affects economic and social development. It requires an accurate prediction analysis to help to m...
Deep Learning China Models, Statistical Tuberculosis Humans Incidence Public Health Probability Prevalence Seasons Forecasting Prognosis Mycobacterium tuberculosis
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Application of Distributed Probability Model in Sports Based on Deep Learning: Deep Belief Network (DL-DBN) Algorithm for Human Behaviour Analysis.

Computational intelligence and neuroscience Feb 18, 2022
With the increased development of information technology, almost all the sectors have been developed. Age, educational qualifications, gender, and other factors have no bearing on acquiring knowledge in information technology.Most humans use mobile p...
Probability Algorithms Humans Deep Learning Machine Learning
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IDNetwork: A deep illness-death network based on multi-state event history process for disease prognostication.

Statistics in medicine Feb 17, 2022
Multi-state models can capture the different patterns of disease evolution. In particular, the illness-death model is used to follow disease progression from a healthy state to an intermediate state of the disease and to a death-related final state. ...
United States Probability Proportional Hazards Models Disease Transmission, Infectious Markov Chains Risk Factors Humans Neural Networks, Computer Disease Progression Prognosis
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Automated Cardioailment Identification and Prevention by Hybrid Machine Learning Models.

Computational and mathematical methods in medicine Feb 15, 2022
Accurate prediction of cardiovascular disease is necessary and considered to be a difficult attempt to treat a patient effectively before a heart attack occurs. According to recent studies, heart disease is said to be one of the leading origins of de...
Diagnosis, Computer-Assisted Computational Biology Humans Bayes Theorem Female Algorithms Heart Diseases Models, Cardiovascular Machine Learning Heart Disease Risk Factors Male Databases, Factual Probability
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Intrinsic Decomposition Method Combining Deep Convolutional Neural Network and Probability Graph Model.

Computational intelligence and neuroscience Feb 10, 2022
With the rapid development of computer vision and artificial intelligence, people are increasingly demanding image decomposition. Many of the current methods do not decompose images well. In order to find the decomposition method with high accuracy a...
Artificial Intelligence Algorithms Humans Probability Neural Networks, Computer Image Processing, Computer-Assisted
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