Population description
Our dataset includes 23.6 million patient histories of individuals between 40 and 74 years old in England (see Fig. 1, and methods for full details on dataset construction). This age cohort is selected based on the…
Category: 7. Maths
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Comparative analysis of predictors of child mortality in Ethiopia via frequentist and Bayesian approaches
Descriptive analysis
As shown in Table 2, among the 3837 children, 7% died. Most mothers reside in rural areas (77.8%). About 57.2% of mothers do not have formal education. This may impact mothers’ educational opportunities and socioeconomic…
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Integrating data augmentation and BERT-based deep learning for predicting alpha-glucosidase inhibitors derived from Black Cohosh
According to the previous findings, we were interested to determine how discovered active ingredients of Black Cohosh plant interact with alpha-glucosidase enzyme. Hence, the proposed model was repeated forty times the probability of each…
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Accuracy assessment of a cochlear implant imaging tool using clinical computed tomography images
This study assessed the accuracy of an imaging tool used to evaluate clinical cochlear implantation CT data. Cochlea dimensions, along with angular insertion depth and electrode scalar location of the electrode array, were evaluated and compared…
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Deep learning-based automatic facial symmetry scoring in peripheral facial palsy
The study was approved by the local institutional review board (IRB) at Jena University Hospital (registration number 2019-1539-BO). Due to the retrospective nature of the investigation, written informed consent was waived by the IRB at Jena…
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Analysis of anti-cancer treatment therapies based on TOPSIS method under fractional Diophantine fuzzy Muirhead mean operators
In this section, we review some basic concepts related to IFSs, PyFSs, LDFSs, and q-RLDFS that will be employed in the next sections.
Definition 1
Ref.5 Suppose
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Numerical simulation of transcranial static magnetic fields for the treatment of global epilepsy in children
To extend the evaluation of the generated magnetic field and to highlight e the differences between the simulated configurations, three main approaches have been used: effect on the surface, effect on the volume, and effect on the depth.
The…
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Enhancing representativeness in population-based surveys to improve data quality and decision-making
Survey data
The data used in this work was derived from a multi-center cross-sectional online survey conducted from May to November 2023 at the University of Torino (Italy), Sevilla (Spain), and Lusòfona (Portugal) to investigate university…
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Cox proportional hazards model with Bayesian neural network for survival prediction
Survival analysis
Survival analysis is an invaluable statistical technique employed to examine and comprehend data related to the time it takes for a particular event to occur. This methodology finds applications in a wide range of disciplines,…
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Chinese crop diseases and pests named entity recognition based on variational information bottleneck and feature enhancement
VIBFE consists of five main layers: the embedding layer, information bottleneck layer, feature extraction layer, feature fusion layer, and CRF layer, along with an entity boundary detection module. The overall architecture of the model is shown…
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