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https://www.readbyqxmd.com/read/28431546/health-care-public-reporting-utilization-user-clusters-web-trails-and-usage-barriers-on-germany-s-public-reporting-portal-weisse-liste-de
#1
Christoph Pross, Lars-Henrik Averdunk, Josip Stjepanovic, Reinhard Busse, Alexander Geissler
BACKGROUND: Quality of care public reporting provides structural, process and outcome information to facilitate hospital choice and strengthen quality competition. Yet, evidence indicates that patients rarely use this information in their decision-making, due to limited awareness of the data and complex and conflicting information. While there is enthusiasm among policy makers for public reporting, clinicians and researchers doubt its overall impact. Almost no study has analyzed how users behave on public reporting portals, which information they seek out and when they abort their search...
April 21, 2017: BMC Medical Informatics and Decision Making
https://www.readbyqxmd.com/read/28426758/traces-of-business-cycles-in-credit-rating-migrations
#2
Dmitri Boreiko, Serguei Kaniovski, Yuri Kaniovski, Georg Pflug
Using migration data of a rating agency, this paper attempts to quantify the impact of macroeconomic conditions on credit-rating migrations. The migrations are modeled as a coupled Markov chain, where the macroeconomic factors are represented by unobserved tendency variables. In the simplest case, these binary random variables are static and credit-class-specific. A generalization treats tendency variables evolving as a time-homogeneous Markov chain. A more detailed analysis assumes a tendency variable for every combination of a credit class and an industry...
2017: PloS One
https://www.readbyqxmd.com/read/28426345/economic-evaluation-of-ezetimibe-treatment-in-combination-with-statin-therapy-in-the-united-states
#3
Glenn M Davies, Ami Vyas, Carl A Baxter
AIMS: This study assessed the cost-effectiveness of ezetimibe with statin therapy versus statin monotherapy from a United States (US) payer perspective, assuming the impending patent expiration of ezetimibe. METHODS: A Markov-like economic model consisting of 28 distinct health states was used. Model population data were obtained from US linked claims and electronic medical records, with inclusion criteria based on diagnostic guidelines. Inputs came from recent clinical trials, meta-analyses, and cost-effectiveness analyses...
April 20, 2017: Journal of Medical Economics
https://www.readbyqxmd.com/read/28426252/intervention-effects-on-stage-of-change-membership-and-transitions-among-adolescent-energy-balance-behaviors
#4
Leslie A Brick, Colleen A Redding, Andrea L Paiva, Lisa L Harlow, Wayne F Velicer
The transition from childhood to adolescence is a crucial period for the development of healthy behaviors to be sustained later in life. With obesity a leading public health problem, the promotion of healthy behaviors has the potential to make a huge impact. The current study evaluated Stage of Change progression in a large (N = 4158) computer-delivered, Transtheoretical Model-tailored intervention focusing on physical activity and fruit and vegetable consumption (FV). Markov models were used to explore stage transitions and patterns of discrete change from sixth to ninth grade...
April 20, 2017: Multivariate Behavioral Research
https://www.readbyqxmd.com/read/28422698/dissipativity-based-resilient-filtering-of-periodic-markovian-jump-neural-networks-with-quantized-measurements
#5
Renquan Lu, Jie Tao, Peng Shi, Hongye Su, Zheng-Guang Wu, Yong Xu
The problem of dissipativity-based resilient filtering for discrete-time periodic Markov jump neural networks in the presence of quantized measurements is investigated in this paper. Due to the limited capacities of network medium, a logarithmic quantizer is applied to the underlying systems. Considering the fact that the filter is realized through a network, randomly occurring parameter uncertainties of the filter are modeled by two mode-dependent Bernoulli processes. By establishing the mode-dependent periodic Lyapunov function, sufficient conditions are given to ensure the stability and dissipativity of the filtering error system...
April 12, 2017: IEEE Transactions on Neural Networks and Learning Systems
https://www.readbyqxmd.com/read/28414908/an-experimental-computational-study-of-carbon-nanotubes-effects-on-mitochondrial-respiration-in-silico-nano-qspr-machine-learning-models-based-on-new-raman-spectra-transform-with-markov-shannon-entropy-invariants
#6
Michael González-Durruthy, Luciane Carla Alberici, Zeki Naal, David T Atique-Sawazaki, Carlos Curti, José Manuel Vázquez-Naya, Humbert Gonzalez-Diaz, Cristian Robert Munteanu
The study of selective toxicity of carbon nanotubes (CNT) on mitochondria (CNT-mitotoxicity) is of major interest for future biomedical applications. In the current work, the mitochondrial oxygen consumption (E3) is measured under three experimental conditions by exposure to pristine and oxidized CNTs (hydroxylated and carboxylated). Respiratory functional assays showed that the information of the CNT-Raman spectroscopy could be useful to predict structural parameters of mitotoxicity induced by CNTs. The in vitro functional assays show that the mitochondrial oxidative phosphorylation by ATP-synthase (or state V3 of respiration) was not perturbed in isolated rat-liver mitochondria...
April 17, 2017: Journal of Chemical Information and Modeling
https://www.readbyqxmd.com/read/28391241/a-variational-bayes-genomic-enabled-prediction-model-with-genotype-%C3%A3-environment-interaction
#7
Osval A Montesinos-López, Abelardo Montesinos-López, José Crossa, José Cricelio Montesinos-López, Francisco Javier Luna-Vázquez, Josaphat Salinas, José Herrera-Morales, Raymundo Buenrostro-Mariscal
There are Bayesian and non-Bayesian genomic models that take into account G×E interaction. However, the computational cost of implementing the Bayesian models is high and becomes almost impossible when the number of genotypes, environments and traits is very large, while in the non-Bayesian models, many times there are important and often unsolved convergence problems. The variational Bayes method is popular in machine learning and, by approximating the probability distributions through optimization, it tends to be faster than the Markov Chain Monte Carlo methods...
April 8, 2017: G3: Genes—Genomes—Genetics
https://www.readbyqxmd.com/read/28386451/do-rats-learn-conditional-independence
#8
Robert Ian Bowers, William Timberlake
If acquired associations are to accurately represent real relevance relations, there is motivation for the hypothesis that learning will, in some circumstances, be more appropriately modelled, not as direct dependence, but as conditional independence. In a serial compound conditioning experiment, two groups of rats were presented with a conditioned stimulus (CS1) that imperfectly (50%) predicted food, and was itself imperfectly predicted by a CS2. Groups differed in the proportion of CS2 presentations that were ultimately followed by food (25% versus 75%)...
February 2017: Royal Society Open Science
https://www.readbyqxmd.com/read/28377150/developmental-changes-in-autonomic-responses-are-associated-with-future-reward-punishment-expectations-a-study-of-sympathetic-skin-responses-in-the-markov-decision-task
#9
Hiromi Hosaka, Kakuro Aoyagi, Yoshimi Kaga, Hideaki Kanemura, Kanji Sugita, Masao Aihara
OBJECTIVE: Autonomic nervous system activity is recognized as a major component of emotional responses. Future reward/punishment expectations depend upon the process of decision making in the frontal lobe, which is considered to play an important role in executive function. The aim of this study was to investigate the relationship between autonomic responses and decision making during reinforcement tasks using sympathetic skin responses (SSR). METHODS: Nine adult and 9 juvenile (mean age, 10...
April 1, 2017: Brain & Development
https://www.readbyqxmd.com/read/28374100/how-old-is-this-bird-the-age-distribution-under-some-phase-sampling-schemes
#10
Sophie Hautphenne, Melanie Massaro, Peter Taylor
In this paper, we use a finite-state continuous-time Markov chain with one absorbing state to model an individual's lifetime. Under this model, the time of death follows a phase-type distribution, and the transient states of the Markov chain are known as phases. We then attempt to provide an answer to the simple question "What is the conditional age distribution of the individual, given its current phase"? We show that the answer depends on how we interpret the question, and in particular, on the phase observation scheme under consideration...
April 3, 2017: Journal of Mathematical Biology
https://www.readbyqxmd.com/read/28371250/a-decision-model-to-estimate-a-risk-threshold-for-venous-thromboembolism-prophylaxis-in-hospitalized-medical-patients
#11
P Le, K A Martinez, M A Pappas, M B Rothberg
BACKGROUND: Venous thromboembolism (VTE) is a common preventable condition in medical inpatients. Thromboprophylaxis is recommended for inpatients who are not at low risk of VTE, but no specific risk threshold for prophylaxis has been defined. OBJECTIVE: To determine a threshold for prophylaxis based on risk of VTE. PATIENTS/METHODS: We constructed a decision model with a decision-tree following patients for 3 months after hospitalization, and a lifetime Markov model with 3-month cycles...
March 31, 2017: Journal of Thrombosis and Haemostasis: JTH
https://www.readbyqxmd.com/read/28368654/geometric-explanation-of-anomalous-finite-size-scaling-in-high-dimensions
#12
Jens Grimm, Eren Metin Elçi, Zongzheng Zhou, Timothy M Garoni, Youjin Deng
We give an intuitive geometric explanation for the apparent breakdown of standard finite-size scaling in systems with periodic boundaries above the upper critical dimension. The Ising model and self-avoiding walk are simulated on five-dimensional hypercubic lattices with free and periodic boundary conditions, by using geometric representations and recently introduced Markov-chain Monte Carlo algorithms. We show that previously observed anomalous behavior for correlation functions, measured on the standard Euclidean scale, can be removed by defining correlation functions on a scale which correctly accounts for windings...
March 17, 2017: Physical Review Letters
https://www.readbyqxmd.com/read/28364037/a-bayesian-poisson-lognormal-model-for-count-data-for-multiple-trait-multiple-environment-genomic-enabled-prediction
#13
Osval A Montesinos-López, Abelardo Montesinos-López, José Crossa, Fernando H Toledo, José C Montesinos-López, Pawan Singh, Philomin Juliana, Josefhat Salinas-Ruiz
When a plant scientist wishes to make genomic-enabled predictions of multiple traits measured in multiple individuals in multiple environments, the most common strategy for performing the analysis is to use a single trait at a time taking into account genotype x environment interaction (GxE), because there is a lack of comprehensive models that simultaneously take into account the correlated counting traits and G×E. For this reason, in this study we propose a multiple-trait and multiple-environment model for count data...
March 31, 2017: G3: Genes—Genomes—Genetics
https://www.readbyqxmd.com/read/28343139/oxytocin-in-corticosterone-induced-chronic-stress-model-focus-on-adrenal-gland-function
#14
Dušanka Stanić, Bosiljka Plećaš-Solarović, Duško Mirković, Predrag Jovanović, Slađana Dronjak, Bojan Marković, Tea Đorđević, Svetlana Ignjatović, Vesna Pešić
Chronic stress conditions can lead to considerable and extensible changes in physiological and psychological performances, and in emergence of risk for various somatic diseases. On the other hand, the neuropeptide oxytocin is reported to increase the resistance of the organism to stress and modulate activity of autonomic nervous system. Chronic corticosterone administration is used as a rat model for a state observed in terms of chronic stress exposure, when negative feedback mechanism of hypothalamus-pituitary-adrenal axis activity is disrupted...
March 10, 2017: Psychoneuroendocrinology
https://www.readbyqxmd.com/read/28331463/a-gibbs-sampler-for-learning-dags
#15
Robert J B Goudie, Sach Mukherjee
We propose a Gibbs sampler for structure learning in directed acyclic graph (DAG) models. The standard Markov chain Monte Carlo algorithms used for learning DAGs are random-walk Metropolis-Hastings samplers. These samplers are guaranteed to converge asymptotically but often mix slowly when exploring the large graph spaces that arise in structure learning. In each step, the sampler we propose draws entire sets of parents for multiple nodes from the appropriate conditional distribution. This provides an efficient way to make large moves in graph space, permitting faster mixing whilst retaining asymptotic guarantees of convergence...
April 2016: Journal of Machine Learning Research: JMLR
https://www.readbyqxmd.com/read/28329429/racial-disparity-in-life-expectancies-and-life-years-lost-associated-with-multiple-obesity-related-chronic-conditions
#16
Su-Hsin Chang, Yao-Chi Yu, Nils P Carlsson, Xiaoyan Liu, Graham A Colditz
OBJECTIVE: This study investigated racial disparity in life expectancies (LEs) and life years lost (LYL) associated with multiple obesity-related chronic conditions (OCCs). METHODS: Data from the Medical Expenditure Panel Survey, 2008-2012, were used. Four OCCs were studied: diabetes, hypertension, coronary heart disease (CHD), and stroke. LE for each subpopulation was simulated by Markov modelling. LYL associated with a disease for a subpopulation was computed by taking the difference between LEs for members of that subpopulation without disease and LEs for members of that subpopulation who had that disease...
March 22, 2017: Obesity
https://www.readbyqxmd.com/read/28302164/cost-effectiveness-of-cerebrospinal-biomarkers-for-the-diagnosis-of-alzheimer-s-disease
#17
Spencer A W Lee, Luciano A Sposato, Vladimir Hachinski, Lauren E Cipriano
BACKGROUND: Accurate and timely diagnosis of Alzheimer's disease (AD) is important for prompt initiation of treatment in patients with AD and to avoid inappropriate treatment of patients with false-positive diagnoses. METHODS: Using a Markov model, we estimated the lifetime costs and quality-adjusted life-years (QALYs) of cerebrospinal fluid biomarker analysis in a cohort of patients referred to a neurologist or memory clinic with suspected AD who remained without a definitive diagnosis of AD or another condition after neuroimaging...
March 16, 2017: Alzheimer's Research & Therapy
https://www.readbyqxmd.com/read/28294368/estimating-cross-validatory-predictive-p-values-with-integrated-importance-sampling-for-disease-mapping-models
#18
Longhai Li, Cindy X Feng, Shi Qiu
An important statistical task in disease mapping problems is to identify divergent regions with unusually high or low risk of disease. Leave-one-out cross-validatory (LOOCV) model assessment is the gold standard for estimating predictive p-values that can flag such divergent regions. However, actual LOOCV is time-consuming because one needs to rerun a Markov chain Monte Carlo analysis for each posterior distribution in which an observation is held out as a test case. This paper introduces a new method, called integrated importance sampling (iIS), for estimating LOOCV predictive p-values with only Markov chain samples drawn from the posterior based on a full data set...
March 12, 2017: Statistics in Medicine
https://www.readbyqxmd.com/read/28290281/bioinactivation-software-for-modelling-dynamic-microbial-inactivation
#19
Alberto Garre, Pablo S Fernández, Roland Lindqvist, Jose A Egea
This contribution presents the bioinactivation software, which implements functions for the modelling of isothermal and non-isothermal microbial inactivation. This software offers features such as user-friendliness, modelling of dynamic conditions, possibility to choose the fitting algorithm and generation of prediction intervals. The software is offered in two different formats: Bioinactivation core and Bioinactivation SE. Bioinactivation core is a package for the R programming language, which includes features for the generation of predictions and for the fitting of models to inactivation experiments using non-linear regression or a Markov Chain Monte Carlo algorithm (MCMC)...
March 2017: Food Research International
https://www.readbyqxmd.com/read/28288333/metric-learning-for-parkinsonian-identification-from-imu-gait-measurements
#20
Fabio Cuzzolin, Michael Sapienza, Patrick Esser, Suman Saha, Miss Marloes Franssen, Johnny Collett, Helen Dawes
Diagnosis of people with mild Parkinson's symptoms is difficult. Nevertheless, variations in gait pattern can be utilised to this purpose, when measured via Inertial Measurement Units (IMUs). Human gait, however, possesses a high degree of variability across individuals, and is subject to numerous nuisance factors. Therefore, off-the-shelf Machine Learning techniques may fail to classify it with the accuracy required in clinical trials. In this paper we propose a novel framework in which IMU gait measurement sequences sampled during a 10m walk are first encoded as hidden Markov models (HMMs) to extract their dynamics and provide a fixed-length representation...
February 27, 2017: Gait & Posture
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