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Bayes theorem

Simona Manciu, Mihnea Dragomir, Fabiana Curea, Catalin Vasilescu
BACKGROUND: Despite the obvious technical advantages, the value of robotic surgery is highly debated and its cost-effectiveness has been questioned. The aim of this article is to provide an evaluation of the outcomes of robotic surgery in comparison to conventional laparoscopy. METHODS: A decision analysis based on the Bayes' theorem and the decision tree was used. The robotic approach was compared with the laparoscopic approach for each of the pathologies discussed in this study...
February 22, 2017: Journal of Laparoendoscopic & Advanced Surgical Techniques. Part A
Xudong Zhang, Dietmar Göhlich
The effect of vehicle active safety systems is subject to the friction force arising from the contact of tires and the road surface. Therefore, an adequate knowledge of the tire-road friction coefficient is of great importance to achieve a good performance of these control systems. This paper presents a tire-road friction coefficient estimation method for an advanced vehicle configuration, four-motorized-wheel electric vehicles, in which the longitudinal tire force is easily obtained. A hierarchical structure is adopted for the proposed estimation design...
2017: PloS One
Silvia Andrietti, Stefania Carlucci, Alan Wright, David Wright, Kypros H Nicolaides
OBJECTIVE: To investigate the potential value of repeat measurements of uterine artery pulsatility index (UTPI), mean arterial pressure (MAP) and serum placental growth factor (PLGF) at 12, 22 and 32 weeks' gestation in the prediction of preeclampsia (PE) after 32 weeks. METHODS: The data were derived from prospective screening for adverse obstetric outcomes in women attending for their routine hospital visit at 11-13, 19-24 and / or 30-34 weeks' gestation in two maternity hospitals in England...
January 12, 2017: Ultrasound in Obstetrics & Gynecology
Zhe Xue, Jia-Xu Chen, Yue Zhao, Barbara Medvar, Mark A Knepper
A major challenge in physiology is to exploit the many large-scale datasets available from "-omic" studies in order to seek answers to key physiological questions. In previous studies, Bayes' Theorem has been used for this purpose. This approach requires a means to map continuously distributed experimental data to probabilities (likelihood values) in order to derive posterior probabilities from the combination of prior probabilities and new data. Here, we introduce the use of Minimum Bayes' Factors for this purpose and illustrate the approach by addressing a physiological question, "Which deubiquitylating enzymes (DUBs) encoded by mammalian genomes are most likely to regulate plasma membrane transport processes in renal cortical collecting duct principal cells?" To do this, we have created a comprehensive online database of 110 DUBs present in the mammalian genome (https://hpcwebapps...
December 30, 2016: Physiological Genomics
Andrew F Neuwald, Stephen F Altschul
Over evolutionary time, members of a superfamily of homologous proteins sharing a common structural core diverge into subgroups filling various functional niches. At the sequence level, such divergence appears as correlations that arise from residue patterns distinct to each subgroup. Such a superfamily may be viewed as a population of sequences corresponding to a complex, high-dimensional probability distribution. Here we model this distribution as hierarchical interrelated hidden Markov models (hiHMMs), which describe these sequence correlations implicitly...
December 2016: PLoS Computational Biology
A Carrillo Alcaraz, A López Martínez, F J Sotos Solano
Pulmonary thromboembolism is common and potentially severe. To ensure the correct approach to the diagnostic workup of pulmonary thromboembolism, it is essential to know the basic concepts governing the use of the different tests available. The diagnostic approach to pulmonary thromboembolism is an example of the application of the conditional probabilities of Bayes' theorem in daily practice. To interpret the available diagnostic tests correctly, it is necessary to analyze different concepts that are fundamental for decision making...
December 7, 2016: Radiología
Thomas H Payne, Bimal R Desai
No abstract text is available yet for this article.
November 15, 2016: American Journal of Health-system Pharmacy: AJHP
Humaira Batool, M Usman Akram, Fouzia Batool, Wasi Haider Butt
OBJECTIVES: Frozen shoulder is a disease in which shoulder becomes stiff. Accurate diagnosis of frozen shoulder is helpful in providing economical and effective treatment for patients. This research provides the classification of unstructured data using data mining techniques. Prediction results are validated by K-fold cross-validation method. It also provides accurate diagnosis of frozen shoulder using Naïve Bayesian and Random Forest models. At the end results are presented by performance measure techniques...
2016: SpringerPlus
Sophia M LeMaire, Viswanathan Raghuram, Cameron R Grady, Christina M Pickering, Chung-Lin Chou, Ezigbobiara N Umejiego, Mark A Knepper
Phosphorylation of the aquaporin-2 (AQP2) water channel at four COOH-terminal serines plays a central role in the regulation of water permeability of the renal collecting duct. The level of phosphorylation at these sites is determined by a balance between phosphorylation by protein kinases and dephosphorylation by phosphatases. The phosphatases that dephosphorylate AQP2 have not been identified. Here, we use large-scale data integration techniques to identify serine-threonine phosphatases likely to interact with AQP2 in renal collecting duct principal cells...
January 1, 2017: American Journal of Physiology. Renal Physiology
Verónica Gómez Toledo, Ileana Gutiérrez Farfán, Antonio Verduzco-Mendoza, Emilio Arch-Tirado
BACKGROUND: Tinnitus is defined as the conscious perception of a sensation of sound that occurs in the absence of an external stimulus. This audiological symptom affects 7% to 19% of the adult population. The aim of this study is to describe the associated comorbidities present in patients with tinnitus usingjoint and conditional probability analysis. PATIENTS: Patients of both genders, diagnosed with unilateral or bilateral tinnitus, aged between 20 and 45 years, and had a full computerised medical record, were selected...
October 13, 2016: Cirugia y Cirujanos
M Y Tan, D Wright, L Koutoulas, R Akolekar, K H Nicolaides
OBJECTIVE: To estimate the patient-specific risk of pre-eclampsia (PE) at 31-34 weeks' gestation by a combination of maternal characteristics and medical history with multiples of the median (MoM) values of serum placental growth factor (PlGF) and serum soluble fms-like tyrosine kinase-1 (sFlt-1) and to compare the performance of screening to that achieved by the sFlt-1/PlGF ratio. METHODS: This was a prospective observational study in women attending a third-trimester ultrasound scan at 31-34 weeks as part of routine pregnancy care...
February 2017: Ultrasound in Obstetrics & Gynecology
Ahmad Mani-Varnosfaderani, Atefeh Kanginejad, Kambiz Gilany, Abolfazl Valadkhani
The present work deals with the development of a new baseline correction method based on the comparative learning capabilities of artificial neural networks. The developed method uses the Bayes probability theorem for prevention of the occurrence of the over-fitting and finding a generalized baseline. The developed method has been applied on simulated and real metabolomic gas-chromatography (GC) and Raman data sets. The results revealed that the proposed method can be used to handle different types of baselines with cave, convex, curvelinear, triangular and sinusoidal patterns...
October 12, 2016: Analytica Chimica Acta
Tal Galili, Isaac Meilijson
The Rao-Blackwell theorem offers a procedure for converting a crude unbiased estimator of a parameter θ into a "better" one, in fact unique and optimal if the improvement is based on a minimal sufficient statistic that is complete. In contrast, behind every minimal sufficient statistic that is not complete, there is an improvable Rao-Blackwell improvement. This is illustrated via a simple example based on the uniform distribution, in which a rather natural Rao-Blackwell improvement is uniformly improvable...
January 2, 2016: American Statistician
Zhongheng Zhang
Naïve Bayes classification is a kind of simple probabilistic classification methods based on Bayes' theorem with the assumption of independence between features. The model is trained on training dataset to make predictions by predict() function. This article introduces two functions naiveBayes() and train() for the performance of Naïve Bayes classification.
June 2016: Annals of Translational Medicine
S Buczinski, J M Vandeweerd
Provision of good quality colostrum [i.e., immunoglobulin G (IgG) concentration ≥50g/L] is the first step toward ensuring proper passive transfer of immunity for young calves. Precise quantification of colostrum IgG levels cannot be easily performed on the farm. Assessment of the refractive index using a Brix scale with a refractometer has been described as being highly correlated with IgG concentration in colostrum. The aim of this study was to perform a systematic review of the diagnostic accuracy of Brix refractometry to diagnose good quality colostrum...
September 2016: Journal of Dairy Science
Norman Fenton, Martin Neil, Daniel Berger
Although the last forty years has seen considerable growth in the use of statistics in legal proceedings, it is primarily classical statistical methods rather than Bayesian methods that have been used. Yet the Bayesian approach avoids many of the problems of classical statistics and is also well suited to a broader range of problems. This paper reviews the potential and actual use of Bayes in the law and explains the main reasons for its lack of impact on legal practice. These include misconceptions by the legal community about Bayes' theorem, over-reliance on the use of the likelihood ratio and the lack of adoption of modern computational methods...
June 2016: Annual Review of Statistics and its Application
John O Campbell
Many of the mathematical frameworks describing natural selection are equivalent to Bayes' Theorem, also known as Bayesian updating. By definition, a process of Bayesian Inference is one which involves a Bayesian update, so we may conclude that these frameworks describe natural selection as a process of Bayesian inference. Thus, natural selection serves as a counter example to a widely-held interpretation that restricts Bayesian Inference to human mental processes (including the endeavors of statisticians). As Bayesian inference can always be cast in terms of (variational) free energy minimization, natural selection can be viewed as comprising two components: a generative model of an "experiment" in the external world environment, and the results of that "experiment" or the "surprise" entailed by predicted and actual outcomes of the "experiment...
2016: Frontiers in Systems Neuroscience
Vince Buffalo, Stephen M Mount, Graham Coop
Close relatives can share large segments of their genome identical by descent (IBD) that can be identified in genome-wide polymorphism data sets. There are a range of methods to use these IBD segments to identify relatives and estimate their relationship. These methods have focused on sharing on the autosomes, as they provide a rich source of information about genealogical relationships. We hope to learn additional information about recent ancestry through shared IBD segments on the X chromosome, but currently lack the theoretical framework to use this information fully...
September 2016: Genetics
Chengcheng Xu, Pan Liu, Wei Wang
The primary objective of the present study was to investigate the predictability of crash risk models that were developed using high-resolution real-time traffic data. More specifically the present study sought answers to the following questions: (a) how to evaluate the predictability of a real-time crash risk model; and (b) how to improve the predictability of a real-time crash risk model. The predictability is defined as the crash probability given the crash precursor identified by the crash risk model. An equation was derived based on the Bayes' theorem for estimating approximately the predictability of crash risk models...
September 2016: Accident; Analysis and Prevention
Dan B Jensen, Henk Hogeveen, Albert De Vries
Rapid detection of dairy cow mastitis is important so corrective action can be taken as soon as possible. Automatically collected sensor data used to monitor the performance and the health state of the cow could be useful for rapid detection of mastitis while reducing the labor needs for monitoring. The state of the art in combining sensor data to predict clinical mastitis still does not perform well enough to be applied in practice. Our objective was to combine a multivariate dynamic linear model (DLM) with a naïve Bayesian classifier (NBC) in a novel method using sensor and nonsensor data to detect clinical cases of mastitis...
September 2016: Journal of Dairy Science
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