AIMC Topic: Markov Chains

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Appointment Scheduling Problem in Complexity Systems of the Healthcare Services: A Comprehensive Review.

Journal of healthcare engineering Mar 3, 2022
This paper provides a comprehensive review of Appointment Scheduling (AS) in healthcare service while we propose appointment scheduling problems and various applications and solution approaches in healthcare systems. For this purpose, more than 150 s...
Markov Chains Patient Satisfaction Humans Computer Simulation Appointments and Schedules Artificial Intelligence
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Event-Triggered Output Feedback Synchronization of Master-Slave Neural Networks Under Deception Attacks.

IEEE transactions on neural networks and learning systems Feb 28, 2022
The problem of event-triggered synchronization of master-slave neural networks is investigated in this article. It is assumed that both communication channels from the sensor to controller and from controller to actuator are subject to stochastic dec...
Feedback Markov Chains Communication Deception Neural Networks, Computer
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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. ...
Neural Networks, Computer Prognosis Probability Disease Transmission, Infectious Risk Factors Markov Chains Humans Proportional Hazards Models Disease Progression United States
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Reachable Set Estimation for Markovian Jump Neutral-Type Neural Networks With Time-Varying Delays.

IEEE transactions on cybernetics Feb 16, 2022
The reachable set estimation problem for a class of Markovian jump neutral-type neural networks (MJNTNNs) with bounded disturbances and time-varying delays is tackled in this article. With the aid of the delay partitioning method, a novel stochastic ...
Algorithms Computer Simulation Markov Chains Neural Networks, Computer
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Injection attack estimation of networked control systems subject to hidden DoS attack.

ISA transactions Feb 10, 2022
This paper is concerned with the injection attack estimation for a class of networked control systems with Deny-of-Service (DoS) attack, where unknown signals are injected into the sensor reading and actuator. The main goal is to design an estimator ...
Markov Chains Neural Networks, Computer Computer Simulation Algorithms Time Factors
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Sampled-Data Stabilization for Boolean Control Networks With Infinite Stochastic Sampling.

IEEE transactions on cybernetics Jan 11, 2022
Sampled-data state feedback control with stochastic sampling periods for Boolean control networks (BCNs) is investigated in this article. First, based on the algebraic form of BCNs, stochastic sampled-data state feedback control is applied to stabili...
Neural Networks, Computer Algorithms Feedback Markov Chains
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IFPTML Mapping of Drug Graphs with Protein and Chromosome Structural Networks vs. Pre-Clinical Assay Information for Discovery of Antimalarial Compounds.

International journal of molecular sciences Dec 2, 2021
The parasite species of genus causes Malaria, which remains a major global health problem due to parasite resistance to available Antimalarial drugs and increasing treatment costs. Consequently, computational prediction of new Antimalarial compounds...
Algorithms Reproducibility of Results Models, Theoretical Plasmodium falciparum Databases, Pharmaceutical Drug Discovery Antimalarials Machine Learning Markov Chains Protozoan Proteins Genome, Protozoan Drug Evaluation, Preclinical
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The Potential Cost-Effectiveness of a Machine Learning Tool That Can Prevent Untimely Intensive Care Unit Discharge.

Value in health : the journal of the International Society for Pharmacoeconomics and Outcomes Research Oct 22, 2021
OBJECTIVES: The machine learning prediction model Pacmed Critical (PC), currently under development, may guide intensivists in their decision-making process on the most appropriate time to discharge a patient from the intensive care unit (ICU). Given...
Patient Discharge Patient Readmission Netherlands Markov Chains Intensive Care Units Quality-Adjusted Life Years Cost-Benefit Analysis Models, Economic Decision Making Humans Machine Learning
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Partitioning variability in animal behavioral videos using semi-supervised variational autoencoders.

PLoS computational biology Sep 22, 2021
Recent neuroscience studies demonstrate that a deeper understanding of brain function requires a deeper understanding of behavior. Detailed behavioral measurements are now often collected using video cameras, resulting in an increased need for comput...
Animals Mice Models, Statistical Unsupervised Machine Learning Computational Biology Artificial Intelligence Algorithms Computer Simulation Neural Networks, Computer Video Recording Behavior, Animal Supervised Machine Learning Markov Chains
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Influential Usage of Big Data and Artificial Intelligence in Healthcare.

Computational and mathematical methods in medicine Sep 6, 2021
Artificial intelligence (AI) is making computer systems capable of executing human brain tasks in many fields in all aspects of daily life. The enhancement in information and communications technology (ICT) has indisputably improved the quality of pe...
Markov Chains Humans Artificial Intelligence Delivery of Health Care Big Data Computational Biology Electronic Health Records Telemedicine Deep Learning
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