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https://www.readbyqxmd.com/read/28231679/-use-the-markov-decision-tree-model-to-optimize-vaccination-strategies-of-hepatitis-e-among-women-aged-15-to-49
#1
Z M Chen, S B Ji, X L Shi, Y Y Zhao, X F Zhang, H Jin
Objective: To evaluate the cost-utility of different hepatitis E vaccination strategies in women aged 15 to 49. Methods: The Markov-decision tree model was constructed to evaluate the cost-utility of three hepatitis E virus vaccination strategies. Parameters of the models were estimated on the basis of published studies and experience of experts. Both methods on sensitivity and threshold analysis were used to evaluate the uncertainties of the model. Results: Compared with non-vaccination group, strategy on post-screening vaccination with rate as 100%, could save 0...
February 10, 2017: Zhonghua Liu Xing Bing Xue za Zhi, Zhonghua Liuxingbingxue Zazhi
https://www.readbyqxmd.com/read/28231677/-a-systematic-review-of-worldwide-natural-history-models-of-colorectal-cancer-classification-transition-rate-and-a-recommendation-for-developing-chinese-population-specific-model
#2
Z F Li, H Y Huang, J F Shi, C G Guo, S M Zou, C C Liu, Y Wang, L Wang, S L Zhu, S L Wu, M Dai
Objective: To review the worldwide studies on natural history models among colorectal cancer (CRC), and to inform building a Chinese population-specific CRC model and developing a platform for further evaluation of CRC screening and other interventions in population in China. Methods: A structured literature search process was conducted in PubMed and the target publication dates were from January 1995 to December 2014. Information about classification systems on both colorectal cancer and precancer on corresponding transition rate, were extracted and summarized...
February 10, 2017: Zhonghua Liu Xing Bing Xue za Zhi, Zhonghua Liuxingbingxue Zazhi
https://www.readbyqxmd.com/read/28231313/a-stochastic-hybrid-systems-based-framework-for-modeling-dependent-failure-processes
#3
Mengfei Fan, Zhiguo Zeng, Enrico Zio, Rui Kang, Ying Chen
In this paper, we develop a framework to model and analyze systems that are subject to dependent, competing degradation processes and random shocks. The degradation processes are described by stochastic differential equations, whereas transitions between the system discrete states are triggered by random shocks. The modeling is, then, based on Stochastic Hybrid Systems (SHS), whose state space is comprised of a continuous state determined by stochastic differential equations and a discrete state driven by stochastic transitions and reset maps...
2017: PloS One
https://www.readbyqxmd.com/read/28231302/bioinformatic-prediction-of-g-protein-coupled-receptor-encoding-sequences-from-the-transcriptome-of-the-foreleg-including-the-haller-s-organ-of-the-cattle-tick-rhipicephalus-australis
#4
Sergio Munoz, Felix D Guerrero, Anastasia Kellogg, Andrew M Heekin, Ming-Ying Leung
The cattle tick of Australia, Rhipicephalus australis, is a vector for microbial parasites that cause serious bovine diseases. The Haller's organ, located in the tick's forelegs, is crucial for host detection and mating. To facilitate the development of new technologies for better control of this agricultural pest, we aimed to sequence and annotate the transcriptome of the R. australis forelegs and associated tissues, including the Haller's organ. As G protein-coupled receptors (GPCRs) are an important family of eukaryotic proteins studied as pharmaceutical targets in humans, we prioritized the identification and classification of the GPCRs expressed in the foreleg tissues...
2017: PloS One
https://www.readbyqxmd.com/read/28228159/the-effect-of-interspecific-competition-on-the-temporal-dynamics-of-aedes-albopictus-and-culex-pipiens
#5
Giovanni Marini, Giorgio Guzzetta, Frederic Baldacchino, Daniele Arnoldi, Fabrizio Montarsi, Gioia Capelli, Annapaola Rizzoli, Stefano Merler, Roberto Rosà
BACKGROUND: Aedes albopictus and Culex pipiens larvae reared in the same breeding site compete for resources, with an asymmetrical outcome that disadvantages only the latter species. The impact of these interactions on the overall ecology of these two species has not yet been assessed in the natural environment. In the present study, the temporal patterns of adult female mosquitoes from both species were analysed in north-eastern Italy, and substantial temporal shifts between abundance curves of Cx...
February 23, 2017: Parasites & Vectors
https://www.readbyqxmd.com/read/28228094/sfreemap-a-simulation-free-tool-for-stochastic-mapping
#6
Diego Pasqualin, Marcos Barbeitos, Fabiano Silva
BACKGROUND: Stochastic mapping is frequently used in comparative biology to simulate character evolution, enabling the probabilistic computation of statistics such as number of state transitions along a tree and distribution of states in its internal nodes. Common implementations rely on Continuous-time Markov Chain simulations whose parameters are difficult to adjust and subjected to inherent inaccuracy. Thus, researchers must run a large number of simulations in order to obtain adequate estimates...
February 22, 2017: BMC Bioinformatics
https://www.readbyqxmd.com/read/28228056/brexpiprazole
#7
Marija Markovic, Alyssa Gallipani, Krina H Patel, Megan Maroney
OBJECTIVE: To review the pharmacology and clinical data for brexpiprazole in schizophrenia and major depressive disorder (MDD). DATA SOURCES: An English-language literature search using PubMed and MEDLINE was performed using the term brexpiprazole. All articles containing human clinical trial data published up to September 2016 were evaluated for inclusion as well as information from the manufacturer's product labeling. STUDY SELECTION/DATA EXTRACTION: Phase 3 trials for brexpiprazole were evaluated...
April 2017: Annals of Pharmacotherapy
https://www.readbyqxmd.com/read/28227387/detecting-cell-division-of-pseudomonas-aeruginosa-bacteria-from-bright-field-microscopy-images-with-hidden-conditional-random-fields
#8
Lee-Ling S Ong, Xinghua Zhang, Binu Kundukad, Justin Dauwels, Patrick Doyle, H Harry Asada, Lee-Ling S Ong, Xinghua Zhang, Binu Kundukad, Justin Dauwels, Patrick Doyle, H Harry Asada, Binu Kundukad, Lee-Ling S Ong, Xinghua Zhang, Justin Dauwels, Patrick Doyle, H Harry Asada
An approach to automatically detect bacteria division with temporal models is presented. To understand how bacteria migrate and proliferate to form complex multicellular behaviours such as biofilms, it is desirable to track individual bacteria and detect cell division events. Unlike eukaryotic cells, prokaryotic cells such as bacteria lack distinctive features, causing bacteria division difficult to detect in a single image frame. Furthermore, bacteria may detach, migrate close to other bacteria and may orientate themselves at an angle to the horizontal plane...
August 2016: Conference Proceedings: Annual International Conference of the IEEE Engineering in Medicine and Biology Society
https://www.readbyqxmd.com/read/28227292/a-descriptive-model-of-resting-state-networks-using-markov-chains
#9
H Xie, R Pal, S Mitra, H Xie, R Pal, S Mitra, H Xie, S Mitra
Resting-state functional connectivity (RSFC) studies considering pairwise linear correlations have attracted great interests while the underlying functional network structure still remains poorly understood. To further our understanding of RSFC, this paper presents an analysis of the resting-state networks (RSNs) based on the steady-state distributions and provides a novel angle to investigate the RSFC of multiple functional nodes. This paper evaluates the consistency of two networks based on the Hellinger distance between the steady-state distributions of the inferred Markov chain models...
August 2016: Conference Proceedings: Annual International Conference of the IEEE Engineering in Medicine and Biology Society
https://www.readbyqxmd.com/read/28227257/why-should-you-model-time-when-you-use-markov-models-for-heart-sound-analysis
#10
Jorge Oliveira, Theofrastos Mantadelis, Miguel Coimbra, Jorge Oliveira, Theofrastos Mantadelis, Miguel Coimbra, Jorge Oliveira, Miguel Coimbra, Theofrastos Mantadelis
Auscultation is a widely used technique in clinical activity to diagnose heart diseases. However, heart sounds are difficult to interpret because a) of events with very short temporal onset between them (tens of milliseconds) and b) dominant frequencies that are out of the human audible spectrum. In this paper, we propose a model to segment heart sounds using a semi-hidden Markov model instead of a hidden Markov model. Our model in difference from the state-of-the-art hidden Markov models takes in account the temporal constraints that exist in heart cycles...
August 2016: Conference Proceedings: Annual International Conference of the IEEE Engineering in Medicine and Biology Society
https://www.readbyqxmd.com/read/28227168/a-novel-method-for-splice-sites-prediction-using-sequence-component-and-hidden-markov-model
#11
Elham Pashaei, Alper Yilmaz, Mustafa Ozen, Nizamettin Aydin, Elham Pashaei, Alper Yilmaz, Mustafa Ozen, Nizamettin Aydin, Nizamettin Aydin, Alper Yilmaz, Elham Pashaei, Mustafa Ozen
With increasing growth of DNA sequence data, it has become an urgent demand to develop new methods to accurately predict the genes. The performance of gene detection methods mainly depend on the efficiency of splice site prediction methods. In this paper, a novel method for detecting splice sites is proposed by using a new effective DNA encoding method and AdaBoost.M1 classifier. Our proposed DNA encoding method is based on multi-scale component (MSC) and first order Markov model (MM1). It has been applied to the HS3D dataset with repeated 10 fold cross validation...
August 2016: Conference Proceedings: Annual International Conference of the IEEE Engineering in Medicine and Biology Society
https://www.readbyqxmd.com/read/28227109/probabilistic-characterization-of-sleep-architecture-home-based-study-on-healthy-volunteers
#12
Gary Garcia-Molina, Sreeram Vissapragada, Anandi Mahadevan, Robert Goodpaster, Brady Riedner, Michele Bellesi, Giulio Tononi, Gary Garcia-Molina, Sreeram Vissapragada, Anandi Mahadevan, Robert Goodpaster, Brady Riedner, Michele Bellesi, Giulio Tononi, Robert Goodpaster, Brady Riedner, Michele Bellesi, Giulio Tononi, Gary Garcia-Molina, Sreeram Vissapragada, Anandi Mahadevan
The quantification of sleep architecture has high clinical value for diagnostic purposes. While the clinical standard to assess sleep architecture is in-lab based polysomnography, higher ecological validity can be obtained with multiple sleep recordings at home. In this paper, we use a dataset composed of fifty sleep EEG recordings at home (10 per study participant for five participants) to analyze the sleep stage transition dynamics using Markov chain based modeling. The statistical analysis of the duration of continuous sleep stage bouts is also analyzed to identify the speed of transition between sleep stages...
August 2016: Conference Proceedings: Annual International Conference of the IEEE Engineering in Medicine and Biology Society
https://www.readbyqxmd.com/read/28227061/moses-a-matlab-based-open-source-stochastic-epidemic-simulator
#13
Huseyin Atakan Varol, Huseyin Atakan Varol, Huseyin Atakan Varol
This paper presents an open-source stochastic epidemic simulator. Discrete Time Markov Chain based simulator is implemented in Matlab. The simulator capable of simulating SEQIJR (susceptible, exposed, quarantined, infected, isolated and recovered) model can be reduced to simpler models by setting some of the parameters (transition probabilities) to zero. Similarly, it can be extended to more complicated models by editing the source code. It is designed to be used for testing different control algorithms to contain epidemics...
August 2016: Conference Proceedings: Annual International Conference of the IEEE Engineering in Medicine and Biology Society
https://www.readbyqxmd.com/read/28227004/automated-tracking-segmentation-and-trajectory-classification-of-pelvic-organs-on-dynamic-mri
#14
Iman Nekooeimehr, Susana Lai-Yuen, Paul Bao, Alfredo Weitzenfeld, Stuart Hart, Iman Nekooeimehr, Susana Lai-Yuen, Paul Bao, Alfredo Weitzenfeld, Stuart Hart, Paul Bao, Susana Lai-Yuen, Stuart Hart, Alfredo Weitzenfeld, Iman Nekooeimehr
Pelvic organ prolapse is a major health problem in women where pelvic floor organs (bladder, uterus, small bowel, and rectum) fall from their normal position and bulge into the vagina. Dynamic Magnetic Resonance Imaging (DMRI) is presently used to analyze the organs' movements from rest to maximum strain providing complementary support for diagnosis. However, there is currently no automated or quantitative approach to measure the movement of the pelvic organs and their correlation with the severity of prolapse...
August 2016: Conference Proceedings: Annual International Conference of the IEEE Engineering in Medicine and Biology Society
https://www.readbyqxmd.com/read/28226822/hidden-markov-factor-analysis-as-a-spatiotemporal-model-for-electrocorticography
#15
Akinyinka Omigbodun, Werner K Doyle, Orrin Devinsky, Daniel Friedman, Thomas Thesen, Vikash Gilja, Akinyinka Omigbodun, Werner K Doyle, Orrin Devinsky, Daniel Friedman, Thomas Thesen, Vikash Gilja, Akinyinka Omigbodun, Thomas Thesen, Vikash Gilja, Werner K Doyle, Orrin Devinsky, Daniel Friedman
We present a new approach to extracting low-dimensional neural trajectories that summarize the electrocorticographic (ECoG) signals recorded with high-channel-count electrode arrays implanted subdurally. In our approach, Hidden-Markov Factor Analysis (HMFA), a finite set of factor analyzers are used to model the relationship between the high-dimensional ECoG neural space and a low-dimensional latent neural space; the factor analyzers at different time points are in turn linked together with a hidden Markov model...
August 2016: Conference Proceedings: Annual International Conference of the IEEE Engineering in Medicine and Biology Society
https://www.readbyqxmd.com/read/28226806/multistep-model-for-predicting-upper-limb-3d-isometric-force-application-from-pre-movement-electrocorticographic-features
#16
Jing Wu, Benjamin R Shuman, Bingni W Brunton, Katherine M Steele, Jared D Olson, Rajesh P N Rao, Jeffrey G Ojemann, Jing Wu, Benjamin R Shuman, Bingni W Brunton, Katherine M Steele, Jared D Olson, Rajesh P N Rao, Jeffrey G Ojemann, Rajesh P N Rao, Jared D Olson, Benjamin R Shuman, Katherine M Steele, Jing Wu, Jeffrey G Ojemann, Bingni W Brunton
Neural correlates of movement planning onset and direction may be present in human electrocorticography in the signal dynamics of both motor and non-motor cortical regions. We use a three-stage model of jPCA reduced-rank hidden Markov model (jPCA-RR-HMM), regularized shrunken-centroid discriminant analysis (RDA), and LASSO regression to extract direction-sensitive planning information and movement onset in an upper-limb 3D isometric force task in a human subject. This mode achieves a relatively high true positive force-onset prediction rate of 60% within 250ms, and an above-chance 36% accuracy (17% chance) in predicting one of six planned 3D directions of isometric force using pre-movement signals...
August 2016: Conference Proceedings: Annual International Conference of the IEEE Engineering in Medicine and Biology Society
https://www.readbyqxmd.com/read/28226798/decoding-speech-using-the-timing-of-neural-signal-modulation
#17
Werner Jiang, Tejaswy Pailla, Benjamin Dichter, Edward F Chang, Vikash Gilja, Werner Jiang, Tejaswy Pailla, Benjamin Dichter, Edward F Chang, Vikash Gilja, Vikash Gilja, Werner Jiang, Tejaswy Pailla, Benjamin Dichter, Edward F Chang
Brain-machine interfaces (BMIs) have great potential for applications that restore and assist communication for paralyzed individuals. Recently, BMIs decoding speech have gained considerable attention due to their potential for high information transfer rates. In this study, we propose a novel decoding approach based on hidden Markov models (HMMs) that uses the timing of neural signal changes to decode speech. We tested the decoder's performance by predicting vowels from electrocorticographic (ECoG) data of three human subjects...
August 2016: Conference Proceedings: Annual International Conference of the IEEE Engineering in Medicine and Biology Society
https://www.readbyqxmd.com/read/28226712/segmentation-of-angiodysplasia-lesions-in-wce-images-using-a-map-approach-with-markov-random-fields
#18
Pedro M Vieira, Bruno Goncalves, Carla R Goncalves, Carlos S Lima, Pedro M Vieira, Bruno Goncalves, Carla R Goncalves, Carlos S Lima, Pedro M Vieira, Carla R Goncalves, Bruno Goncalves, Carlos S Lima
This paper deals with the segmentation of angiodysplasias in wireless capsule endoscopy images. These lesions are the cause of almost 10% of all gastrointestinal bleeding episodes, and its detection using the available software presents low sensitivity. This work proposes an automatic selection of a ROI using an image segmentation module based on the MAP approach where an accelerated version of the EM algorithm is used to iteratively estimate the model parameters. Spatial context is modeled in the prior probability density function using Markov Random Fields...
August 2016: Conference Proceedings: Annual International Conference of the IEEE Engineering in Medicine and Biology Society
https://www.readbyqxmd.com/read/28226656/scoring-sequences-of-hippocampal-activity-using-hidden-markov-models
#19
Etienne Ackermann, Caleb Kemere, Etienne Ackermann, Caleb Kemere, Etienne Ackermann, Caleb Kemere
We propose a novel sequence score to determine to what extent neural activity is consistent with trajectories through latent ensemble states - virtual place fields - in an associated environment. In particular, we show how hidden Markov models (HMMs) can be used to model and analyze sequences of neural activity, and how the resulting joint probability of an observation sequence and an underlying sequence of states naturally lead to the development of a two component sequence score in which the sequential and contextual information are decoupled...
August 2016: Conference Proceedings: Annual International Conference of the IEEE Engineering in Medicine and Biology Society
https://www.readbyqxmd.com/read/28226633/autonomous-vision-guided-approach-for-the-analysis-and-grading-of-vertical-suspension-tests-during-hammersmith-infant-neurological-examination-hine
#20
Prasenjit Dey, Debi Prosad Dogra, Partha Pratim Roy, Harish Bhaskar, Prasenjit Dey, Debi Prosad Dogra, Partha Pratim Roy, Harish Bhaskar, Debi Prosad Dogra, Harish Bhaskar, Prasenjit Dey, Partha Pratim Roy
Computer vision assisted diagnostic systems are gaining popularity in different healthcare applications. This paper presents a video analysis and pattern recognition framework for the automatic grading of vertical suspension tests on infants during the Hammersmith Infant Neurological Examination (HINE). The proposed vision-guided pipeline applies a color-based skin region segmentation procedure followed by the localization of body parts before feature extraction and classification. After constrained localization of lower body parts, a stick-diagram representation is used for extracting novel features that correspond to the motion dynamic characteristics of the infant's leg movements during HINE...
August 2016: Conference Proceedings: Annual International Conference of the IEEE Engineering in Medicine and Biology Society
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