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https://www.readbyqxmd.com/read/28926930/modeling-of-bn-lifetime-prediction-of-a-system-based-on-integrated-multi-level-information
#1
Jingbin Wang, Xiaohong Wang, Lizhi Wang
Predicting system lifetime is important to ensure safe and reliable operation of products, which requires integrated modeling based on multi-level, multi-sensor information. However, lifetime characteristics of equipment in a system are different and failure mechanisms are inter-coupled, which leads to complex logical correlations and the lack of a uniform lifetime measure. Based on a Bayesian network (BN), a lifetime prediction method for systems that combine multi-level sensor information is proposed. The method considers the correlation between accidental failures and degradation failure mechanisms, and achieves system modeling and lifetime prediction under complex logic correlations...
September 15, 2017: Sensors
https://www.readbyqxmd.com/read/28926232/prediction-errors-of-molecular-machine-learning-models-lower-than-hybrid-dft-error
#2
Felix A Faber, Luke Hutchison, Bing Huang, Justin Gilmer, Samuel S Schoenholz, George E Dahl, Oriol Vinyals, Steven Kearnes, Patrick F Riley, O Anatole von Lilienfeld
We investigate the impact of choosing regres- sors and molecular representations for the construction of fast machine learning (ML) models of thirteen electronic ground-state properties of organic molecules. The performance of each regressor/representation/property combination is assessed using learning curves which report out- of-sample errors as a function of training set size with up to ∼118k distinct molecules. Molecular structures and properties at hybrid density functional theory (DFT) level of theory come from the QM9 database [Ramakrishnan et al, Scientific Data 1 140022 (2014)] and include enthalpies and free energies of atomization , HOMO/LUMO energies and gap, dipole moment, polarizability, zero point vibrational energy, heat capacity and the highest fundamental vibrational frequency...
September 19, 2017: Journal of Chemical Theory and Computation
https://www.readbyqxmd.com/read/28925817/using-multiple-classifiers-for-predicting-the-risk-of-endovascular-aortic-aneurysm-repair-re-intervention-through-hybrid-feature-selection
#3
Omneya Attallah, Alan Karthikesalingam, Peter Je Holt, Matthew M Thompson, Rob Sayers, Matthew J Bown, Eddie C Choke, Xianghong Ma
Feature selection is essential in medical area; however, its process becomes complicated with the presence of censoring which is the unique character of survival analysis. Most survival feature selection methods are based on Cox's proportional hazard model, though machine learning classifiers are preferred. They are less employed in survival analysis due to censoring which prevents them from directly being used to survival data. Among the few work that employed machine learning classifiers, partial logistic artificial neural network with auto-relevance determination is a well-known method that deals with censoring and perform feature selection for survival data...
September 1, 2017: Proceedings of the Institution of Mechanical Engineers. Part H, Journal of Engineering in Medicine
https://www.readbyqxmd.com/read/28923070/univariate-and-multivariate-spatial-models-of-health-facility-utilisation-for-childhood-fevers-in-an-area-on-the-coast-of-kenya
#4
Paul O Ouma, Nathan O Agutu, Robert W Snow, Abdisalan M Noor
BACKGROUND: Precise quantification of health service utilisation is important for the estimation of disease burden and allocation of health resources. Current approaches to mapping health facility utilisation rely on spatial accessibility alone as the predictor. However, other spatially varying social, demographic and economic factors may affect the use of health services. The exclusion of these factors can lead to the inaccurate estimation of health facility utilisation. Here, we compare the accuracy of a univariate spatial model, developed only from estimated travel time, to a multivariate model that also includes relevant social, demographic and economic factors...
September 18, 2017: International Journal of Health Geographics
https://www.readbyqxmd.com/read/28923005/methods-for-discovering-genomic-loci-exhibiting-complex-patterns-of-differential-methylation
#5
Thomas J Hardcastle
BACKGROUND: Cytosine methylation is widespread in most eukaryotic genomes and is known to play a substantial role in various regulatory pathways. Unmethylated cytosines may be converted to uracil through the addition of sodium bisulphite, allowing genome-wide quantification of cytosine methylation via high-throughput sequencing. The data thus acquired allows the discovery of methylation 'loci'; contiguous regions of methylation consistently methylated across biological replicates. The mapping of these loci allows for associations with other genomic factors to be identified, and for analyses of differential methylation to take place...
September 18, 2017: BMC Bioinformatics
https://www.readbyqxmd.com/read/28922354/reconstructing-promoter-activity-from-lux-bioluminescent-reporters
#6
Mudassar Iqbal, Neil Doherty, Anna M L Page, Saara N A Qazi, Ishan Ajmera, Peter A Lund, Theodore Kypraios, David J Scott, Philip J Hill, Dov J Stekel
The bacterial Lux system is used as a gene expression reporter. It is fast, sensitive and non-destructive, enabling high frequency measurements. Originally developed for bacterial cells, it has also been adapted for eukaryotic cells, and can be used for whole cell biosensors, or in real time with live animals without the need for euthanasia. However, correct interpretation of bioluminescent data is limited: the bioluminescence is different from gene expression because of nonlinear molecular and enzyme dynamics of the Lux system...
September 18, 2017: PLoS Computational Biology
https://www.readbyqxmd.com/read/28922296/trajectories-of-glycemic-change-in-a-national-cohort-of-adults-with-previously-controlled-type-2-diabetes
#7
Rozalina G McCoy, Che Ngufor, Holly K Van Houten, Brian Caffo, Nilay D Shah
BACKGROUND: Individualized diabetes management would benefit from prospectively identifying well-controlled patients at risk of losing glycemic control. OBJECTIVES: To identify patterns of hemoglobin A1c (HbA1c) change among patients with stable controlled diabetes. RESEARCH DESIGN: Cohort study using OptumLabs Data Warehouse, 2001-2013. We develop and apply a machine learning framework that uses a Bayesian estimation of the mixture of generalized linear mixed effect models to discover glycemic trajectories, and a random forest feature contribution method to identify patient characteristics predictive of their future glycemic trajectories...
September 15, 2017: Medical Care
https://www.readbyqxmd.com/read/28920703/prognostic-usefulness-of-an-age-adapted-equation-for-renal-function-assessment-in-older-patients-with-acute-coronary-syndrome
#8
Lucía Rioboo Lestón, Emad Abu-Assi, Sergio Raposeiras-Roubin, Rafael Cobas-Paz, Berenice Caneiro-Queija, Jose Manuel Rodríguez-Rodríguez, Andres Íñiguez-Romo
BACKGROUND: Renal dysfunction negatively impacts survival in acute coronary syndrome patients. The Berlin Initiative Study creatinine-based (BIScrea) equation has recently been proposed for renal function assessment in older persons. However, up to now it is unknown if the superiority of the new BIScrea equation, with respect to the most recommended chronic kidney disease epidemiology collaboration creatinine-based (CKD-EPIcrea) formula, would translate into better risk prediction of adverse events in older patients with acute coronary syndrome...
September 1, 2017: European Heart Journal. Acute Cardiovascular Care
https://www.readbyqxmd.com/read/28919931/improving-hierarchical-models-using-historical-data-with-applications-in-high-throughput-genomics-data-analysis
#9
Ben Li, Yunxiao Li, Zhaohui S Qin
Modern high-throughput biotechnologies such as microarray and next generation sequencing produce a massive amount of information for each sample assayed. However, in a typical high-throughput experiment, only limited amount of data are observed for each individual feature, thus the classical 'large p, small n' problem. Bayesian hierarchical model, capable of borrowing strength across features within the same dataset, has been recognized as an effective tool in analyzing such data. However, the shrinkage effect, the most prominent feature of hierarchical features, can lead to undesirable over-correction for some features...
June 2017: Statistics in Biosciences
https://www.readbyqxmd.com/read/28919546/phylodynamics-of-the-brazilian-feline-immunodeficiency-virus
#10
Lucía Cano-Ortiz, Dennis Maletich Junqueira, Juliana Comerlato, Cristina Santos Costa, André Zani, Naila Blatt Duda, Caroline Tochetto, Raissa Nunes Dos Santos, Fernanda Vieira Amorim da Costa, Paulo Roehe, Ana Cláudia Franco
Feline immunodeficiency virus (FIV), like other retroviruses, displays large genomic divergence when different isolates are compared. In this study, 31 FIV positive samples of domestic cats from Porto Alegre, RS, Brazil were used aiming at a detailed genomic characterization and a better understanding of the molecular epidemiology of the virus in Brazil. The proviral env genes were partially amplified, sequenced and compared with another 237 sequences from different continents. We identified several Brazilian highly supported clades (A, B1, B2, C and D) that suggest independent events of introduction of FIV in Brazil...
September 12, 2017: Infection, Genetics and Evolution
https://www.readbyqxmd.com/read/28919506/the-role-of-climatic-cycles-and-trans-saharan-migration-corridors-in-species-diversification-biogeography-of-psammophis-schokari-group-in-north-africa
#11
Duarte Vasconcelos Gonçalves, Fernando Martínez-Freiría, Pierre-André Crochet, Philippe Geniez, Salvador Carranza, José Carlos Brito
Highlands, hydrographic systems and coastal areas have been hypothesised to form corridors across the hyperarid Sahara desert in North Africa, allowing dispersal and gene flow for non-xeric species. Here we aim to provide a genetic test for the trans-Saharan corridor model, and predict the location and stability of ecological-corridors, by combining phylogeography and palaeoclimatic modelling. The model was the Psammophis schokari (Schokari sand racer) group, fast-moving and widely distributed generalist colubrids occurring mostly in arid and semiarid scrublands...
September 14, 2017: Molecular Phylogenetics and Evolution
https://www.readbyqxmd.com/read/28919503/a-multilocus-phylogeny-of-the-genus-sarcohyla-anura-hylidae-and-an-investigation-of-species-boundaries-using-statistical-species-delimitation
#12
Itzue W Caviedes Solis, Adrián Nieto-Montes de Oca
The genus Sarcohyla is composed by 24 species endemic to México. Despite the large number of phylogenetic studies focusing on the family Hylidae, the relationships among the species of Sarcohyla are still poorly known, and the scarce numbers of specimens and tissue samples available for some of the species has hampered an appropriate phylogenetic analysis. We present the most comprehensive molecular phylogenetic study of Sarcohyla to date. We included 17 species of the genus Sarcohyla using data from two mitochondrial (ND1 and 12S) and three nuclear genes (Rag-1, Rhod, and POMc)...
September 14, 2017: Molecular Phylogenetics and Evolution
https://www.readbyqxmd.com/read/28919397/inferring-within-host-bottleneck-size-a-bayesian-approach
#13
R Dybowski, O Restif, D J Price, P Mastroeni
Recent technical developments in microbiology have led to new discoveries on the within-host dynamics of bacterial infections in laboratory animals. In particular, they have highlighted the importance of stochastic bottlenecks at the onset of invasive disease. A number of approaches exist for bottleneck-size estimation with respect to within-host bacterial infections; however, some are more appropriate than others under certain circumstances. A Bayesian comparison of several approaches is made in terms of the availability of isogenic multitype bacteria (e...
September 14, 2017: Journal of Theoretical Biology
https://www.readbyqxmd.com/read/28919117/global-regional-and-national-incidence-prevalence-and-years-lived-with-disability-for-328-diseases-and-injuries-for-195-countries-1990-2016-a-systematic-analysis-for-the-global-burden-of-disease-study-2016
#14
(no author information available yet)
BACKGROUND: As mortality rates decline, life expectancy increases, and populations age, non-fatal outcomes of diseases and injuries are becoming a larger component of the global burden of disease. The Global Burden of Diseases, Injuries, and Risk Factors Study 2016 (GBD 2016) provides a comprehensive assessment of prevalence, incidence, and years lived with disability (YLDs) for 328 causes in 195 countries and territories from 1990 to 2016. METHODS: We estimated prevalence and incidence for 328 diseases and injuries and 2982 sequelae, their non-fatal consequences...
September 16, 2017: Lancet
https://www.readbyqxmd.com/read/28918602/population-pharmacokinetics-and-optimal-sampling-strategy-for-model-based-precision-dosing-of-melphalan-in-patients-undergoing-hematopoietic-stem-cell-transplantation
#15
Kana Mizuno, Min Dong, Tsuyoshi Fukuda, Sharat Chandra, Parinda A Mehta, Scott McConnell, Elias J Anaissie, Alexander A Vinks
BACKGROUND: High-dose melphalan is an important component of conditioning regimens for patients undergoing hematopoietic stem cell transplantation. The current dosing strategy based on body surface area results in a high incidence of oral mucositis and gastrointestinal and liver toxicity. Pharmacokinetically guided dosing will individualize exposure and help minimize overexposure-related toxicity. OBJECTIVE: The purpose of this study was to develop a population pharmacokinetic model and optimal sampling strategy...
September 16, 2017: Clinical Pharmacokinetics
https://www.readbyqxmd.com/read/28916782/predicting-clinical-outcomes-from-large-scale-cancer-genomic-profiles-with-deep-survival-models
#16
Safoora Yousefi, Fatemeh Amrollahi, Mohamed Amgad, Chengliang Dong, Joshua E Lewis, Congzheng Song, David A Gutman, Sameer H Halani, Jose Enrique Velazquez Vega, Daniel J Brat, Lee A D Cooper
Translating the vast data generated by genomic platforms into accurate predictions of clinical outcomes is a fundamental challenge in genomic medicine. Many prediction methods face limitations in learning from the high-dimensional profiles generated by these platforms, and rely on experts to hand-select a small number of features for training prediction models. In this paper, we demonstrate how deep learning and Bayesian optimization methods that have been remarkably successful in general high-dimensional prediction tasks can be adapted to the problem of predicting cancer outcomes...
September 15, 2017: Scientific Reports
https://www.readbyqxmd.com/read/28915367/breathlessness-and-the-body-neuroimaging-clues-for-the-inferential-leap
#17
Olivia K Faull, Anja Hayen, Kyle T S Pattinson
Breathlessness debilitates millions of people with chronic illness. Mismatch between breathlessness severity and objective disease markers is common and poorly understood. Traditionally, sensory perception was conceptualised as a stimulus-response relationship, although this cannot explain how conditioned symptoms may occur in the absence of physiological signals from the lungs or airways. A Bayesian model is now proposed, in which the brain generates sensations based on expectations learnt from past experiences (priors), which are then checked against incoming afferent signals...
August 9, 2017: Cortex; a Journal Devoted to the Study of the Nervous System and Behavior
https://www.readbyqxmd.com/read/28914783/smoothed-temporal-atlases-of-age-gender-all-cause-mortality-in-south-africa
#18
Samuel O M Manda, Nada Abdelatif
Most mortality maps in South Africa and most contried of the sub-Saharan region are static, showing aggregated count data over years or at specific years. Lack of space and temporral dynamanics in these maps may adversely impact on their use and application for vigorous public health policy decisions and interventions. This study aims at describing and modeling sub-national distributions of age-gender specific all-cause mortality and their temporal evolutions from 1997 to 2013 in South Africa. Mortality information that included year, age, gender, and municipality administrative division were obtained from Statistics South Africa for the period...
September 15, 2017: International Journal of Environmental Research and Public Health
https://www.readbyqxmd.com/read/28914358/dynamic-foraging-of-a-top-predator-in-a-seasonal-polar-marine-environment
#19
Ben G Weinstein, Ari S Friedlaender
The seasonal movement of animals at broad spatial scales provides insight into life-history, ecology and conservation. By combining high-resolution satellite-tagged data with hierarchical Bayesian movement models, we can associate spatial patterns of movement with marine animal behavior. We used a multi-state mixture model to describe humpback whale traveling and area-restricted search states as they forage along the West Antarctic Peninsula. We estimated the change in the geography, composition and characteristics of these behavioral states through time...
September 15, 2017: Oecologia
https://www.readbyqxmd.com/read/28912425/predictive-models-of-minimal-hepatic-encephalopathy-for-cirrhotic-patients-based-on-large-scale-brain-intrinsic-connectivity-networks
#20
Yun Jiao, Xun-Heng Wang, Rong Chen, Tian-Yu Tang, Xi-Qi Zhu, Gao-Jun Teng
We aimed to find the most representative connectivity patterns for minimal hepatic encephalopathy (MHE) using large-scale intrinsic connectivity networks (ICNs) and machine learning methods. Resting-state fMRI was administered to 33 cirrhotic patients with MHE and 43 cirrhotic patients without MHE (NMHE). The connectivity maps of 20 ICNs for each participant were obtained by dual regression. A Bayesian machine learning technique, called Graphical Model-based Multivariate Analysis, was applied to determine ICN regions that characterized group differences...
September 14, 2017: Scientific Reports
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