Markov Decision Process In Health Care

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Markov models in medical decision making: a practical …

(Just Now) WebMarkov models assume that a patient is always in one of a finite number of discrete health states, called Markov states. All events are represented as transitions from one state to another. A Markov model may be evaluated by matrix algebra, as a cohort simulation, or …

https://pubmed.ncbi.nlm.nih.gov/8246705/

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Markov Decision Processes for Screening and …

(6 days ago) WebMarkov Decision Processes for Screening and Treatment of Chronic Diseases 3 2 Background on Chronic Disease Modeling Surveys of operations research applications in …

https://btdenton.engin.umich.edu/wp-content/uploads/sites/138/2015/10/Steimle-2015.pdf

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Markov Models and Cost Effectiveness Analysis: …

(5 days ago) WebAdditionally, in Markov Decision Processes, the transitions between states are under the command of a control system called the agent, which selects actions that …

https://www.ncbi.nlm.nih.gov/books/NBK543650/

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23 TREATMENT USING MARKOV MODELING …

(9 days ago) WebMedical treatment decisions are often sequential and uncertain. Markov decision processes (MDPs) are an appropriate technique for modeling and solving such …

https://sites.pitt.edu/~schaefer/papers/MDPMedTreatment.pdf

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Modeling Medical Treatment Using Markov Decision …

(8 days ago) WebSummary. Medical treatment decisions are often sequential and uncertain. Markov decision processes (MDPs) are an appropriate technique for modeling and solving …

https://link.springer.com/chapter/10.1007/1-4020-8066-2_23

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Markov Decision Processes: A Tool for Sequential …

(3 days ago) WebFormal decision analysis has been increasingly used to address complex problems in health care. This complexity requires the use of more advanced modeling techniques. …

https://www.ncbi.nlm.nih.gov/pmc/articles/PMC3060044/

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Markov Decision Processes - Handbook of Healthcare …

(2 days ago) WebSummary. This chapter introduces the basics of Markov decision process (MDP) modeling through motivating examples and examines the sorts of results that may …

https://onlinelibrary.wiley.com/doi/10.1002/9781119300977.ch14

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Robust and Interpretable Sequential Decision-Making …

(Just Now) WebMarkov Decision Processes (MDP) is a common framework for modeling sequential decision-making problems, with applications ranging from inventory and supply chains …

https://academiccommons.columbia.edu/doi/10.7916/d8-fh7f-j467/download

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Markov Decision Processes: A Tool for Sequential …

(1 days ago) WebWe demonstrate the use of an MDP to solve a sequential clinical treatment problem under uncertainty. Markov decision processes generalize standard Markov …

https://journals.sagepub.com/doi/pdf/10.1177/0272989X09353194

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Markov Models in Medical Decision Making: A Practical Guide

(9 days ago) WebMarkov models are useful when a decision problem involves risk that is continuous over time, when the timing of events is important, and when important events may happen …

https://journals.sagepub.com/doi/10.1177/0272989X9301300409

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A Promising Approach to Optimizing Sequential Treatment …

(3 days ago) WebWe performed two reviews: the first to identify existing applications of the Markov decision process in the field of healthcare and the second to identify existing …

https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9550715/

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Using Markov Decision Processes for Medical Resource …

(1 days ago) WebThe health care system in the United States consists of several moving parts that are led by stochastic decision-making. Such a system often causes sequential decision Markov …

https://www.cs.umd.edu/~dchou/papers/828m_paper.pdf

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A Promising Approach to Optimizing Sequential Treatment …

(Just Now) WebThe most appropriate next step in depression treatment after the initial treatment fails is unclear. This study explores the suitability of the Markov decision …

https://link.springer.com/article/10.1007/s40273-022-01185-z

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Markov Models in health care - PubMed

(1 days ago) WebMarkov models consider the patients in a discrete state of health, and the events represent the transition from one state to another. The possibility of modeling repetitive events and …

https://pubmed.ncbi.nlm.nih.gov/26760158/

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Markov Decision Processes and Its Applications in Healthcare

(1 days ago) WebAll MDP models have five basic components. First, the decision maker must determine how. often a decision is made and whether those decisions are made at …

https://www.researchgate.net/publication/281272258_Markov_Decision_Processes_and_Its_Applications_in_Healthcare

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Lecture 2: Markov Decision Processes - Stanford University

(Just Now) WebA Markov decision process (MDP) is a Markov reward process with decisions. It is an environment in which all states are Markov. De nition A Markov Decision Process is a …

https://web.stanford.edu/class/cme241/lecture_slides/david_silver_slides/MDP.pdf

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Cancer Screening Benefits Maximization Using Markov Decision …

(6 days ago) WebContext: Due to the chronic nature of cancer, screening programs were a set of sequential decisions taken over time. Markov decision process (MDP) and partially …

https://www.researchgate.net/publication/378947347_Cancer_Screening_Benefits_Maximization_Using_Markov_Decision_Process_Models_A_Systematic_Review

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Markov Decision Processes: A Tool for Sequential Decision …

(5 days ago) Webcal decisions. Key words: Markov decision processes; decision analysis; Markov processes. (Med Decis Making 2010;30:474–483) F ormal decision analysis has been …

https://sites.pitt.edu/~schaefer/papers/MDPTutorial.pdf

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Scheduling Elective Surgeries with Markov Decision Process and

(7 days ago) WebCop right C© 2019 IFAC Keywords: surgery scheduling, Markov decision process, approximate dynamic programming, recursive least-squares temporal …

https://www.sciencedirect.com/science/article/pii/S2405896319314491

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Eliciting Patients' Revealed Preferences: An Inverse Markov …

(7 days ago) WebEstimating patient preferences over various health states is an important problem in health care decision modeling. Direct approaches, which involve asking …

https://pubsonline.informs.org/doi/10.1287/deca.1100.0185

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Patient Satisfaction: The Role of Artificial Intelligence in Healthcare

(3 days ago) WebArtificial intelligence framework for simulating clinical decision-making: A Markov decision process approach. Artificial Intelligence in Medicine Zand R., Zhang …

https://journals.sagepub.com/doi/full/10.1177/09720634241246331

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Decision and Simulation Modeling Alongside Systematic Reviews

(5 days ago) WebThis chapter discusses the role of decision analysis and decision-analytic models in health care, specifically within the context of the current emphasis on evidence-based medicine …

https://www.ncbi.nlm.nih.gov/books/NBK127478/

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What are patient decision aids in shared decision-making?

(9 days ago) WebPatient decision aids (PDAs) are key tools to help support patient education during the shared decision-making process. By. Sara Heath, Managing Editor. …

https://www.techtarget.com/patientengagement/feature/What-are-patient-decision-aids-in-shared-decision-making

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A Markov decision model for determining optimal outpatient

(9 days ago) WebHealth Care Management Science - Managing an efficient outpatient clinic can often be complicated by significant no-show rates and escalating appointment lead …

https://link.springer.com/article/10.1007/s10729-011-9185-4

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Nurses need to be part of AI decisions. Here's why.

(3 days ago) WebAs artificial intelligence (AI) becomes more widespread in healthcare, nurses are pushing for health systems to be more open with how they plan to use the …

https://www.advisory.com/daily-briefing/2024/05/15/nurses-ai-ec

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Measurized Discounted Markov Decision Processes - NASA/ADS

(2 days ago) WebIn this paper, we build a framework that facilitates the analysis of discounted infinite horizon Markov Decision Processes (MDPs) by visualizing them as deterministic processes …

https://ui.adsabs.harvard.edu/abs/2024arXiv240503888A/abstract

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Applied Sciences Free Full-Text Enhancing Botnet Detection in

(1 days ago) WebA botnet is a network of compromised computer systems, or bots, remotely controlled by an attacker through bot controllers. This covert network poses a threat …

https://www.mdpi.com/2076-3417/14/10/4019

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