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To obtain salivary interleukin (IL) 1β-based models to predict the probability of the occurrence of periodontitis, differentiating by smoking habit.
This article was published in the following journal.
Name: Journal of clinical periodontology
Clinical studies of predictive diagnostic tests consider the evaluation of a single test and comparison of two tests regarding their predictive accuracy of disease status. The positive predictive valu...
Cytology represents a useful diagnostic tool in the preliminary clinical approach to canine splenic lesions, and may prevent unnecessary splenectomy. However, few studies have evaluated diagnostic acc...
Olanzapine is one of the most commonly used drugs for the treatment of schizophrenia and depression of various origins. Its levels are usually measured in the blood, but the collection of this diagnos...
Mammalian cell banks for biopharmaceutical production are usually derived from a single progenitor cell. Different methods to estimate the probability that the cell banks are clonally derived, or the ...
To analyse, using a meta-analytical approach, the diagnostic capacity of molecular biomarkers in saliva for the detection of periodontitis in systemically healthy subjects.
This study is to compare the diagnostic accuracy of digital models obtained via 10 digitization techniques to the reference standard of orthodontic plaster model through dental measuremnet...
Burkholderia pseudomallei is responsible for melioidosis, a disease that can present a range of signs and symptoms and can be treated by a specific drug regimen. Diagnosis of melioidosis i...
Background of the study: Swallowing dysfunction and xerostomia are the most frequently reported radiation-induced side effects (RISE) after (chemo) radiation ((CH) RT) in head and neck ca...
With 50% of post-operative biochemical failure, efficient predictive models are needed to guide post-operative management. Radiomic features are quantitative features extracted from medic...
The diagnostics of extraesophageal reflux (EER) is challenging. Currently, 24-h dual-probe esophageal pH monitoring or impedance is considered the best diagnostic method for EER. The 24-h ...
In screening and diagnostic tests, the probability that a person with a positive test is a true positive (i.e., has the disease), is referred to as the predictive value of a positive test; whereas, the predictive value of a negative test is the probability that the person with a negative test does not have the disease. Predictive value is related to the sensitivity and specificity of the test.
Statistical models which describe the relationship between a qualitative dependent variable (that is, one which can take only certain discrete values, such as the presence or absence of a disease) and an independent variable. A common application is in epidemiology for estimating an individual's risk (probability of a disease) as a function of a given risk factor.
A theorem in probability theory named for Thomas Bayes (1702-1761). In epidemiology, it is used to obtain the probability of disease in a group of people with some characteristic on the basis of the overall rate of that disease and of the likelihoods of that characteristic in healthy and diseased individuals. The most familiar application is in clinical decision analysis where it is used for estimating the probability of a particular diagnosis given the appearance of some symptoms or test result.
Usually refers to the use of mathematical models in the prediction of learning to perform tasks based on the theory of probability applied to responses; it may also refer to the frequency of occurrence of the responses observed in the particular study.
Theoretical representations that simulate the behavior or activity of biological processes or diseases. For disease models in living animals, DISEASE MODELS, ANIMAL is available. Biological models include the use of mathematical equations, computers, and other electronic equipment.