AIMC Topic: Markov Chains

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Patient selection for proton therapy: a radiobiological fuzzy Markov model incorporating robust plan analysis.

Physical and engineering sciences in medicine Feb 10, 2020
While proton therapy can offer increased sparing of healthy tissue compared with X-ray therapy, it can be difficult to predict whether a benefit can be expected for an individual patient. Predictive modelling may aid in this respect. However, the pre...
Fuzzy Logic Patient Selection Probability Humans Quality of Life Female Child, Preschool Models, Theoretical Life Expectancy Proton Therapy Uncertainty Markov Chains Quality-Adjusted Life Years Radiotherapy, Intensity-Modulated
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Deep Learning of Markov Model-Based Machines for Determination of Better Treatment Option Decisions for Infertile Women.

Reproductive sciences (Thousand Oaks, Calif.) Jan 14, 2020
In this technical article, we are proposing ideas, that we have been developing on how machine learning and deep learning techniques can potentially assist obstetricians/gynecologists in better clinical decision-making, using infertile women in their...
Diagnosis, Computer-Assisted Deep Learning Infertility, Female Models, Biological Markov Chains Clinical Decision-Making Pregnancy Female Humans
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A convolutional neural network outperforming state-of-the-art sleep staging algorithms for both preterm and term infants.

Journal of neural engineering Jan 14, 2020
OBJECTIVE: To classify sleep states using electroencephalogram (EEG) that reliably works over a wide range of preterm ages, as well as term age.
Humans Markov Chains Infant, Premature Normal Distribution Sleep Stages Brain Neural Networks, Computer Infant, Newborn Algorithms Electroencephalography Databases, Factual
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Cost-effectiveness of targeted screening for the identification of patients with atrial fibrillation: evaluation of a machine learning risk prediction algorithm.

Journal of medical economics Jan 10, 2020
As many cases of atrial fibrillation (AF) are asymptomatic, patients often remain undiagnosed until complications (e.g. stroke) manifest. Risk-prediction algorithms may help to efficiently identify people with undiagnosed AF. However, the cost-effec...
Mass Screening Decision Trees Atrial Fibrillation Machine Learning Algorithms Risk Assessment United Kingdom Undiagnosed Diseases Cost-Benefit Analysis Markov Chains Quality-Adjusted Life Years Humans
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Reinforcement Learning for Bioretrosynthesis.

ACS synthetic biology Dec 30, 2019
Metabolic engineering aims to produce chemicals of interest from living organisms, to advance toward greener chemistry. Despite efforts, the research and development process is still long and costly, and efficient computational design tools are requi...
Metabolic Engineering Models, Biological Markov Chains Software Artificial Intelligence Monte Carlo Method Synthetic Biology Algorithms Reinforcement, Psychology Metabolic Networks and Pathways Enzymes
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Finite-time nonfragile time-varying proportional retarded synchronization for Markovian Inertial Memristive NNs with reaction-diffusion items.

Neural networks : the official journal of the International Neural Network Society Dec 17, 2019
The issue of synchronization for a class of inertial memristive neural networks over a finite-time interval is investigated in this paper. Specifically, reaction-diffusion items and Markovian jump parameters are both considered in the system model, m...
Neural Networks, Computer Time Factors Markov Chains Information Storage and Retrieval
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Finite-time and fixed-time anti-synchronization of Markovian neural networks with stochastic disturbances via switching control.

Neural networks : the official journal of the International Neural Network Society Nov 28, 2019
This paper proposes a unified theoretical framework to study the problem of finite/fixed-time drive-response anti-synchronization for a class of Markovian stochastic neural networks. State feedback switching controllers without the sign function are ...
Time Factors Reaction Time Markov Chains Stochastic Processes Neural Networks, Computer Algorithms Feedback
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Quasi-Synchronization of Time Delay Markovian Jump Neural Networks With Impulsive-Driven Transmission and Fading Channels.

IEEE transactions on cybernetics Oct 28, 2019
The problem of quasi-synchronization (QS) for the Markovian jump master-slave neural networks with time-varying delay is studied in this article, where the mismatch parameters and unreliable communication channels are considered as well. A set of sto...
Time Factors Markov Chains Neural Networks, Computer Algorithms Computer Simulation
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Centralized/decentralized event-triggered pinning synchronization of stochastic coupled networks with noise and incomplete transitional rate.

Neural networks : the official journal of the International Neural Network Society Sep 7, 2019
This paper studies the synchronous problem of Markovian switching complex networks associated with partly unknown transitional rates, stochastic noise, and randomly coupling strength. In order to achieve the synchronization for these array networks, ...
Neural Networks, Computer Markov Chains Stochastic Processes
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Automated and Interpretable Patient ECG Profiles for Disease Detection, Tracking, and Discovery.

Circulation. Cardiovascular quality and outcomes Sep 5, 2019
BACKGROUND: The ECG remains the most widely used diagnostic test for characterization of cardiac structure and electrical activity. We hypothesized that parallel advances in computing power, machine learning algorithms, and availability of large-scal...
Heart Rate Markov Chains Reproducibility of Results Machine Learning Pattern Recognition, Automated Time Factors Humans Databases, Factual Cardiovascular Diseases Predictive Value of Tests Electrocardiography Neural Networks, Computer Prognosis Diagnosis, Computer-Assisted Action Potentials Signal Processing, Computer-Assisted Workflow
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