Results 161 to 170 of about 20,135 (202)
A Bayesian network-based predictive model for gout onset risk: associations with traditional Chinese medicine constitution in hyperuricemic populations. [PDF]
Tian X, Chen J, Chen Q, Teng R.
europepmc +1 more source
Abstract Nineteenth century excavations of the Ciply‐Malogne Phosphatic Chalk Formation in Hainaut, Belgium, yielded over 50 partial mosasaur skeletons, the majority of which were referred to the species Mosasaurus lemonnieri Dollo, 1889. In the years since, this taxon has experienced a complicated taxonomic history, and its exceptional hypodigm has ...
Henry S. Sharpe +3 more
wiley +1 more source
The stories the data can tell: The tenuous link between evidence and theory. [PDF]
Norman G.
europepmc +1 more source
Purpose To assess the relation between the fragility index (FI) and reverse fragility index (RFI) with the minimum number of patients needed to reverse statistical significance (e.g. henceforth termed the lost to follow‐up index (LTFI) and reverse LTFI (R‐LTFI), respectively) and apply machine learning to identify which trial parameters are most ...
Prushoth Vivekanantha +7 more
wiley +1 more source
Bayesian Thinking in the Intensive Care Unit: From Statistical Theory to Clinical Practice. [PDF]
Schultz MJ +4 more
europepmc +1 more source
Abstract The study of neuroanatomy is fundamental in many scientific fields. Despite this, it is a challenging subject for students. As technology evolves, it is being increasingly incorporated into educational methods, including the teaching of neuroanatomy. Three‐dimensional (3D) visualizations are well suited for displaying neuroanatomy.
Merlin J. Fair +5 more
wiley +1 more source
Re-Imagining Clinical Reasoning: An Updated Cognitive Framework for Real-World Medical Practice. [PDF]
Ng IKS +6 more
europepmc +1 more source
Abstract Context‐centric proactive information delivery (PID) is a relatively underexplored domain within recommender systems (RS) aimed at enhancing Knowledge Workers' productivity by proactively providing relevant information during digital tasks.
Mahta Bakhshizadeh +4 more
wiley +1 more source
Assessing Unmeasured Confounding in Observational Research via Bayesian Semiparametric Modeling. [PDF]
Xu X, MacEachern SN, Lu B.
europepmc +1 more source
Abstract Cross‐disciplinary research is a priority for many academic institutions, with a growing body of scholarship dedicated to studying the central practice of cross‐disciplinarity: integration, or the synthesis of knowledge, information, and data across disciplines and domains.
Ciara Zogheib
wiley +1 more source

