Results 11 to 20 of about 3,498,021 (328)
Saudi Journal of Anaesthesia, 2021 It is incredibly essential that the current clinicians and researchers remain updated with findings of current biomedical literature for evidence-based medicine.
Hunny Sharma
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Fisher’s significance test: A gentle introduction
GMS Medizinische Informatik, Biometrie und Epidemiologie, 2020 The p-value is often misunderstood and, for example, misinterpreted as a probability for the correctness of the null hypothesis. The aim of this article is to first explain the definition of the p-value.
Stang, Andreas, Kowall, Bernd
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Artificial intelligence in the GPs office: a retrospective study on diagnostic accuracy
Scandinavian Journal of Primary Health Care, 2021 Objective Machine learning (ML) is expected to play an increasing role within primary health care (PHC) in coming years. No peer-reviewed studies exist that evaluate the diagnostic accuracy of ML models compared to general practitioners (GPs). The aim of
Steindor Ellertsson +2 more
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Frontalis Transfer and Closed Silicone Rod Frontalis Suspension [PDF]
Archives of Aesthetic Plastic Surgery, 2016 Background Improvements in the degree of marginal reflex distance 1 (MRD1) were compared before and after use of the frontalis transfer (FT) method and closed silicone rod frontalis suspension surgery (SS) for severe blepharoptosis under general or local
Yong Jig Lee, David Dae Hwan Park
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Networks and Graphs Discovery in Metabolomics Data Analysis and Interpretation
Frontiers in Molecular Biosciences, 2022 Both targeted and untargeted mass spectrometry-based metabolomics approaches are used to understand the metabolic processes taking place in various organisms, from prokaryotes, plants, fungi to animals and humans. Untargeted approaches allow to detect as
A. Amara +9 more
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BIOMEX: an interactive workflow for (single cell) omics data interpretation and visualization
Nucleic Acids Res., 2020 The amount of biological data, generated with (single cell) omics technologies, is rapidly increasing, thereby exacerbating bottlenecks in the data analysis and interpretation of omics experiments.
Federico Taverna +10 more
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Big Data Analysis Using Modern Statistical and Machine Learning Methods in Medicine [PDF]
International Neurourology Journal, 2014 In this article we introduce modern statistical machine learning and bioinformatics approaches that have been used in learning statistical relationships from big data in medicine and behavioral science that typically include clinical, genomic (and ...
Changwon Yoo, Luis Ramirez, Juan Liuzzi
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Common pitfalls in statistical analysis: The use of correlation techniques
Perspectives in Clinical Research, 2016 Correlation is a statistical technique which shows whether and how strongly two continuous variables are related. In this article, which is the eighth part in a series on ′Common pitfalls in Statistical Analysis′, we look at the interpretation of the ...
Rakesh Aggarwal, Priya Ranganathan
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Comprehensive guidelines for appropriate statistical analysis methods in research [PDF]
Korean Journal of AnesthesiologyBackground The selection of statistical analysis methods in research is a critical and nuanced task that requires a scientific and rational approach. Aligning the chosen method with the specifics of the research design and hypothesis is paramount, as it ...
Jonghae Kim +2 more
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Index of orthodontic treatment need in children from the Niš region [PDF]
Vojnosanitetski Pregled, 2015 Background/Aim. The Index of Orthodontic Treatment Need (IOTN) is a scoring system for malocclusion that consists of the two independent components: Denal Health Component (DHC) and Aesthetic Component (AC).
Janošević Predrag +5 more
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