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Partially Observable Reinforcement Learning for Blood Glucose Control Under Missing Data

https://doi.org/10.2139/ssrn.4647947
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inferredcites →https://doi.org/10.1007/978-3-030-30636-6_57openalex-extracted
Handling Missing Data in CGM Records
inferredcites →https://doi.org/10.1007/978-3-319-04696-9_9openalex-extracted
Discrepancy Theory and Quasi-Monte Carlo Integration
inferredcites →https://doi.org/10.1007/s00521-022-06958-3openalex-extracted
A reinforcement learning-based approach for imputing missing data
inferredcites →https://doi.org/10.1007/s10479-012-1248-5openalex-extracted
Batch mode reinforcement learning based on the synthesis of artificial trajectories
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Probabilistic sensitivity analysis on Markov models with uncertain transition probabilities: an application in evaluating treatment decisions for type 2 diabetes
inferredcites →https://doi.org/10.1007/s10994-010-5229-0openalex-extracted
Informing sequential clinical decision-making through reinforcement learning: an empirical study
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Continuous Glucose Monitoring: A Brief Review for Primary Care Practitioners
inferredcites →https://doi.org/10.1016/j.artmed.2020.101836openalex-extracted
Reinforcement learning application in diabetes blood glucose control: A systematic review
inferredcites →https://doi.org/10.1016/j.cie.2021.107236openalex-extracted
EMR2vec: Bridging the gap between patient data and clinical trial
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Smart detection and diagnosis of diabetic retinopathy using bat based feature selection algorithm and deep forest technique
inferredcites →https://doi.org/10.1016/j.diabres.2017.03.013openalex-extracted
Effects of depression, diabetes distress, diabetes self-efficacy, and diabetes self-management on glycemic control among Chinese population with type 2 diabetes mellitus
inferredcites →https://doi.org/10.1016/j.ejor.2023.03.014openalex-extracted
Partially observable collaborative model for optimizing personalized treatment selection
inferredcites →https://doi.org/10.1016/j.ins.2022.08.024openalex-extracted
Treatment effect identification using two-level designs with partially ignorable missing data
inferredcites →https://doi.org/10.1016/j.neuron.2010.04.016openalex-extracted
States versus Rewards: Dissociable Neural Prediction Error Signals Underlying Model-Based and Model-Free Reinforcement Learning
inferredcites →https://doi.org/10.1016/s0004-3702(98)00023-xopenalex-extracted
Planning and acting in partially observable stochastic domains
inferredcites →https://doi.org/10.1016/s0378-3758(01)00087-8openalex-extracted
Nonparametric conditional mean imputation
inferredcites →https://doi.org/10.1056/nejmoa1002853openalex-extracted
Effectiveness of Sensor-Augmented Insulin-Pump Therapy in Type 1 Diabetes
inferredcites →https://doi.org/10.1056/nejmsr1203730openalex-extracted
The Prevention and Treatment of Missing Data in Clinical Trials
inferredcites →https://doi.org/10.1080/24725854.2021.1895454openalex-extracted
Multi-model Markov decision processes
inferredcites →https://doi.org/10.1080/24725854.2022.2092918openalex-extracted
Frontiers of medical decision-making in the modern age of data analytics
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Use of the AIDA Diabetes Simulation Software— www.2aida.org—as an Interactive Educational Tool for Teaching Student Nurses
inferredcites →https://doi.org/10.1089/dia.2017.0050openalex-extracted
Clinical Implications of Accuracy Measurements of Continuous Glucose Sensors
inferredcites →https://doi.org/10.1093/biomet/88.3.603openalex-extracted
On inference for partially observed nonlinear diffusion models using the Metropolis-Hastings algorithm
inferredcites →https://doi.org/10.1093/ije/dyaa004openalex-extracted
GLU: a software package for analysing continuously measured glucose levels in epidemiology
inferredcites →https://doi.org/10.1109/tpami.2013.191openalex-extracted
Bayesian Nonparametric Methods for Partially-Observable Reinforcement Learning
inferredcites →https://doi.org/10.1111/imj.13770openalex-extracted
Continuous glucose monitoring: a review of the evidence, opportunities for future use and ongoing challenges
inferredcites →https://doi.org/10.1111/poms.13422openalex-extracted
An Analytics‐Driven Approach for Optimal Individualized Diabetes Screening
inferredcites →https://doi.org/10.1111/poms.13691openalex-extracted
A New Perspective on Breast Cancer Diagnostic Guidelines to Reduce Overdiagnosis
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Two Metropolis--Hastings Algorithms for Posterior Measures with Non-Gaussian Priors in Infinite Dimensions
inferredcites →https://doi.org/10.1145/3460231.3474256openalex-extracted
Partially Observable Reinforcement Learning for Dialog-based Interactive Recommendation
inferredcites →https://doi.org/10.1177/0272989x05282719openalex-extracted
Incorporating Biological Natural History in Simulation Models: Empirical Estimates of the Progression of End-Stage Liver Disease
inferredcites →https://doi.org/10.1177/0272989x17705636openalex-extracted
From Data to Improved Decisions: Operations Research in Healthcare Delivery
inferredcites →https://doi.org/10.1177/1740774514566662openalex-extracted
Missing not at random models for masked clinical trials with dropouts
inferredcites →https://doi.org/10.1177/19322968211001402openalex-extracted
Mean Absolute Relative Difference of Blood Glucose Monitoring Systems and Relationship to ISO 15197
inferredcites →https://doi.org/10.1186/2043-9113-4-7openalex-extracted
Estimating age-dependent per-encounter chlamydia trachomatis acquisition risk via a Markov-based state-transition model
inferredcites →https://doi.org/10.1186/s12902-021-00742-5openalex-extracted
The effects of professional continuous glucose monitoring as an adjuvant educational tool for improving glycemic control in patients with type 2 diabetes
inferredcites →https://doi.org/10.1214/aos/1176343545openalex-extracted
On Unequally Spaced Time Points in Time Series
inferredcites →https://doi.org/10.1287/ijoc.2022.1176openalex-extracted
A Machine Learning–Enabled Partially Observable Markov Decision Process Framework for Early Sepsis Prediction
inferredcites →https://doi.org/10.1287/msom.2019.0797openalex-extracted
Data-Driven Management of Post-transplant Medications: An Ambiguous Partially Observable Markov Decision Process Approach
inferredcites →https://doi.org/10.1609/aaai.v35i11.17227openalex-extracted
Deep Recurrent Belief Propagation Network for POMDPs
inferredcites →https://doi.org/10.2337/cd20-0043openalex-extracted
Using Continuous Glucose Monitoring in Clinical Practice
inferredcites →https://doi.org/10.2337/dc17-1600openalex-extracted
International Consensus on Use of Continuous Glucose Monitoring
inferredcites →https://doi.org/10.32614/rj-2017-009openalex-extracted
imputeTS: Time Series Missing Value Imputation in R
inferredcites →https://doi.org/10.3390/bios8010024openalex-extracted
Calibration of Minimally Invasive Continuous Glucose Monitoring Sensors: State-of-The-Art and Current Perspectives
inferredcites →https://doi.org/10.48550/arxiv.1606.04130openalex-extracted
Modeling Missing Data in Clinical Time Series with RNNs
inferredcites →https://doi.org/10.48550/arxiv.1902.05795openalex-extracted
Robust Reinforcement Learning in POMDPs with Incomplete and Noisy Observations
inferredcites →https://doi.org/10.48550/arxiv.2204.08967openalex-extracted
When Is Partially Observable Reinforcement Learning Not Scary?
inferredcites →https://doi.org/10.7557/18.5166openalex-extracted
Controlling Blood Glucose For Patients With Type 1 DiabetesUsing Deep Reinforcement Learning – The Influence OfChanging The Reward Function
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