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Prediction in health domain using Bayesian networks optimization based on induction learning techniques
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Prediction in health domain using Bayesian networks optimization based on induction learning techniques
Felgaer, Pablo et al · RI ITBA · 2019 · ISSN 0129-1831
"A Bayesian network is a directed acyclic graph in which each node represents a variable and each arc a probabilistic dependency; they are used to provide: a compact form to represent the knowledge and exible methods of ...
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Preterm birth etiological pathways: a Bayesian networks and mediation analysis approach
Article
Article
Preterm birth etiological pathways: a Bayesian networks and mediation analysis approach
Elias, Dario Ezequiel et al · International Pediatric Research Foundation · 2021 · ISSN 1882-1889
Background The aim of this study was to determine the mediating effect of spontaneous preterm birth (PTB) main predictors that would allow to suggest etiological pathways. Methods We carried out a case–control study, i...
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Quantifying the Bayesian Evidence for a Planet in Radial Velocity Data
Article
Article
Quantifying the Bayesian Evidence for a Planet in Radial Velocity Data
Nelson, Benjamin E. et al · IOP Publishing · 2020 · ISSN 0004-6256
We present results from a data challenge posed to the radial velocity (RV) community: Namely, to quantify the Bayesian "evidence"for n = {0, 1, 2, 3} planets in a set of synthetically generated RV data sets containing a ...
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Review of bayesian analysis in additive hazards model
Article
Article
Review of bayesian analysis in additive hazards model
Alvarez, Enrique Ernesto et al · Asian Journal of Probability and Statistics · 2019 · ISSN 2582-0230
In Survival Analysis, the focus of interest is a time $T^*$ until the occurrence of some event. A set of explanatory variables (denoted by a vector $Z$) is considered to analyze if there is a relationship between any of ...
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A bayesian network approach for systemic risk analysis in unmanned aerial vehicle (UAV) operations
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A bayesian network approach for systemic risk analysis in unmanned aerial vehicle (UAV) operations
Lu Wang et al · Nature Portfolio · 2026 · ISSN 2045-2322
Abstract Unmanned Aerial Vehicle (UAV) operations confront complex systemic risks that challenge traditional analytical methods. This paper develops a hierarchical Bayesian Network (BN) to quantitatively model these risk...
LCC LCC:Medicine; TENDOlNjaWVuY2U~Idioma English
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A comparison and evaluation of statistical methods for mediation analysis with mixtures of environmental exposures
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A comparison and evaluation of statistical methods for mediation analysis with mixtures of environmental exposures
Sean McGrath et al · BMC · 2026 · ISSN 1471-2288
Abstract Background Environmental studies often evaluate how exposures influence health outcomes through intermediate biological processes. In practice, researchers are often interested in complex exposure mixtures rathe...
LCC TENDOk1lZGljaW5lIChHZW5lcmFsKQ~~Idioma English
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Accuracy of transcranial magnetic stimulation and a Bayesian latent class model for diagnosis of spinal cord dysfunction in horses
Article
Article
Accuracy of transcranial magnetic stimulation and a Bayesian latent class model for diagnosis of spinal cord dysfunction in horses
Joke Rijckaert et al · Oxford University Press · 2020 · ISSN 0891-6640
Abstract Background Spinal cord dysfunction/compression and ataxia are common in horses. Presumptive diagnosis is most commonly based on neurological examination and cervical radiography, but the interest into the diagno...
LCC TENDOlZldGVyaW5hcnkgbWVkaWNpbmU~Idioma English
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Efficacy and safety evaluation of thromboprophylaxis strategies for central venous catheter-related thrombosis in cancer patients: a bayesian network meta-analysis and bibliometric analysis
Article
Article
Efficacy and safety evaluation of thromboprophylaxis strategies for central venous catheter-related thrombosis in cancer patients: a bayesian network meta-analysis and bibliometric analysis
Mingyu Meng et al · Frontiers Media S.A · 2026 · ISSN 1663-9812
BackgroundCatheter-related thrombosis (CRT) is a common complication following central venous catheter (CVC) placement in patients with cancer, increasing mortality and adverse outcomes. However, robust evidence on optim...
LCC LCC:Therapeutics. PharmacologyIdioma English
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Efficacy and safety of Chinese botanical drug decoctions for migraine: a Bayesian network meta-analysis
Article
Article
Efficacy and safety of Chinese botanical drug decoctions for migraine: a Bayesian network meta-analysis
Fan Zhang et al · Frontiers Media S.A · 2026 · ISSN 1663-9812
BackgroundMigraine is a common neurological disorder that substantially affects patients’ quality of life. Chinese botanical drug decoctions are used in migraine management; however, the comparative efficacy and safety...
LCC LCC:Therapeutics. PharmacologyIdioma English
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Estimação de componentes de variância utilizando-se inferência Bayesiana e freqüentista em dados simulados sob heterogeneidade de variâncias Estimation of variance components using Bayesian and frequentist inferences considering simulated data under heterogeneity of variance
Article
Article
Estimação de componentes de variância utilizando-se inferência Bayesiana e freqüentista em dados simulados sob heterogeneidade de variâncias Estimation of variance components using Bayesian and frequentist inferences considering simulated data under heterogeneity of variance
José Marques Carneiro Júnior et al · Sociedade Brasileira de Zootecnia · 2007 · ISSN 1516-3598
Foi simulado um genoma de 3.000 centimorgans de comprimento considerando uma única característica quantitativa, governada por 800 locos com dois alelos por loco. Segundo a estrutura genômica proposta, foram simulados ...
LCC LCC:Animal cultureIdioma English
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Modality-specific effects of structured exercise on immunometabolic biomarkers in postmenopausal obesity: a Bayesian network meta-analysis
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Article
Modality-specific effects of structured exercise on immunometabolic biomarkers in postmenopausal obesity: a Bayesian network meta-analysis
Gang Huang et al · Frontiers Media S.A · 2026 · ISSN 1664-3224
ObjectiveThe present Bayesian network meta-analysis (NMA) aims to evaluate and compare the efficacy of aerobic training (AT), resistance training (RT), high-intensity interval training (HIIT), and combined training (CT) ...
LCC LCC:Immunologic diseases. AllergyIdioma English
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Optimal dose and type of exercise across cardiometabolic outcomes in adults with overweight or obesity: protocol for a Bayesian model-based dose–response network meta-analysis of randomised controlled trials
Article
Article
Optimal dose and type of exercise across cardiometabolic outcomes in adults with overweight or obesity: protocol for a Bayesian model-based dose–response network meta-analysis of randomised controlled trials
Qiuxia Zhang et al · BMJ Publishing Group · 2026 · ISSN 2044-6055
Introduction Overweight and obesity are major global public health challenges and increase the risk of type 2 diabetes, dyslipidaemia, hypertension and cardiovascular disease. Exercise is a safe and cost-effective non-ph...
LCC LCC:MedicineIdioma English
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Psychometric properties of the Questionnaire for the Use of Public Transportation and Well-Being: Bayesian reliability, factorial invariance, and structural equation modeling evidence
Article
Article
Psychometric properties of the Questionnaire for the Use of Public Transportation and Well-Being: Bayesian reliability, factorial invariance, and structural equation modeling evidence
Jonatan Baños-Chaparro et al · Frontiers Media S.A · 2026 · ISSN 2297-7775
IntroductionPublic transport is a fundamental component of urban mobility and an everyday context that can influence the emotional well-being of adults. However, there is limited availability of validated psychometric in...
LCC TENDOlNvY2lvbG9neSAoR2VuZXJhbCk~Idioma English
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Using approximate Bayesian inference for a “steps and turns” continuous-time random walk observed at regular time intervals
Article
Article
Using approximate Bayesian inference for a “steps and turns” continuous-time random walk observed at regular time intervals
Ruiz Suarez, Sofia Helena et al · PeerJ · 2020 · ISSN 2167-8359
The study of animal movement is challenging because movement is a process modulated by many factors acting at different spatial and temporal scales. In order to describe and analyse animal movement, several models have b...
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mist: a hierarchical Bayesian framework for detecting differential DNA methylation dynamics in single-cell data
Article
Article
mist: a hierarchical Bayesian framework for detecting differential DNA methylation dynamics in single-cell data
Daoyu Duan et al · Nature Portfolio · 2026 · ISSN 2041-1723
Abstract Recent advancements in single-cell DNA methylation (scDNAm) sequencing technologies have enabled the profiling of epigenetic landscapes at unprecedented resolution, offering insights into cellular heterogeneity,...
LCC TENDOlNjaWVuY2U~Idioma English
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Mixture models in quantitative genetics and applications to animal breeding
Article
Article
Mixture models in quantitative genetics and applications to animal breeding
Daniel Gianola et al · Sociedade Brasileira de Zootecnia · 2007 · ISSN 1516-3598
Finite mixture models are helpful for uncovering heterogeneity due to hidden structure; for example, unknown major genes. The first part of this article gives examples and reviews quantitative genetics issues of continuo...
LCC LCC:Animal cultureIdioma English
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Association of Ambient Air Pollution and Pregnancy Outcomes Among Women with Assisted Reproductive Technology in Qingdao, China: A Retrospective Cohort Study
Article
Article
Association of Ambient Air Pollution and Pregnancy Outcomes Among Women with Assisted Reproductive Technology in Qingdao, China: A Retrospective Cohort Study
Chen S et al · Dove Medical Press · 2026 · ISSN 1179-1594
Shuyuan Chen,1,2,* Zewei Yu,2,* Yuquan Mao,1,3,* Yangying Xu,2 Fanhui Meng,4 Duan Li,2 Xueyu Wang,5 Yupeng Jia,6 Xiaowen Liu,1 Yujie Li,2 Cuifang Hao,2 Xin Du1,2 1Department of Integrated Traditio...
LCC LCC:Public aspects of medicineIdioma English
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Association of mixed exposure to lithium, vanadium, uranium, and bismuth in early pregnancy with gestational weight gain
Article
Article
Association of mixed exposure to lithium, vanadium, uranium, and bismuth in early pregnancy with gestational weight gain
Jiao LI et al · Editorial Committee of Journal of Environmental and Occupational Medicine · 2026 · ISSN 2095-9982
BackgroundGestational weight gain is closely related to maternal and infant health outcomes. Pregnant women are simultaneously exposed to four metals—lithium (Li), vanadium (V), uranium (U), and bismuth (Bi)—through ...
LCC TENDOk1lZGljaW5lIChHZW5lcmFsKQ~~; TENDOlRveGljb2xvZ3kuIFBvaXNvbnM~Idioma English
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Bulk viscous cosmological models with a cosmological constant: Observational constraints
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Article
Bulk viscous cosmological models with a cosmological constant: Observational constraints
Noemí Villalobos R. et al · EDP Sciences · 2026 · ISSN 0004-6361
Aims. We investigate whether viscous cold dark matter (vCDM) in a Λ-dominated Friedmann-Lemaître-Robertson-Walker (FLRW) universe can alleviate the Hubble tension, while satisfying thermodynamic constraints. Here, we e...
LCC TENDOkFzdHJvbm9teQ~~Idioma English
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EMPLOYMENT RATE AND ECONOMIC GROWTH: THE CASE OF TRANSITION COUNTRIES
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Article
EMPLOYMENT RATE AND ECONOMIC GROWTH: THE CASE OF TRANSITION COUNTRIES
Josip Tica et al · Faculty of Economics University of Rijeka · 2023 · ISSN 1331-8004
This paper investigates the effects of the employment rate on economic growth during the transition process. We start with the mainstream growth econometrics approach that controls for convergence and, in order to cont...
LCC TENDOkVjb25vbWljIHRoZW9yeS4gRGVtb2dyYXBoeQ~~Idioma English
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Estimating the mutual information between two discrete, asymmetric variables with limited samples
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Article
Estimating the mutual information between two discrete, asymmetric variables with limited samples
Hernández Lahme, Damián Gabriel et al · Molecular Diversity Preservation International · 2019 · ISSN 1099-4300
Determining the strength of nonlinear, statistical dependencies between two variables is a crucial matter in many research fields. The established measure for quantifying such relations is the mutual information. However...
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Evaluation of the performance of three serological tests for diagnosis of Leishmania infantum infection in dogs using latent class analysis
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Article
Evaluation of the performance of three serological tests for diagnosis of Leishmania infantum infection in dogs using latent class analysis
Asier Basurco et al · Colégio Brasileiro de Parasitologia Veterinária · 2020 · ISSN 1984-2961
Abstract Canine leishmaniasis (CanL) is a disease caused by Leishmania infantum. Serological methods are the most common diagnostic techniques used for the diagnosis of the CanL. The objective of our study was to estimat...
LCC LCC:Animal cultureIdioma English
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Identification of limiting climatic and geographical variables for the distribution of the tortoise Chelonoidis chilensis (Testudinidae): a baseline for conservation actions
Article
Article
Identification of limiting climatic and geographical variables for the distribution of the tortoise Chelonoidis chilensis (Testudinidae): a baseline for conservation actions
Ruete, Alejandro et al · PeerJ, Inc · 2015 · ISSN 2167-8359
Just as for most other tortoise species, the once common Chacotortoise, Chelonoidis chilensis (Testudinidae), is under constant threat across it distribution in Argentina, Bolivia and Paraguay. Despite initial qualitativ...
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Remaining Useful Life Model and Assessment of Mechanical Products: A Brief Review and a Note on the State Space Model Method
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Article
Remaining Useful Life Model and Assessment of Mechanical Products: A Brief Review and a Note on the State Space Model Method
Yawei Hu et al · KeAi Communications Co., Ltd · 2019 · ISSN 1000-9345
Abstract The remaining useful life (RUL) prediction of mechanical products has been widely studied for online system performance reliability, device remanufacturing, and product safety (safety awareness and safety improv...
LCC LCC:Ocean engineering; TENDOk1lY2hhbmljYWwgZW5naW5lZXJpbmcgYW5kIG1hY2hpbmVyeQ~~Idioma English
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