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Risk of dementia in long-term benzodiazepine users: evidence from a meta-analysis of observational studies. J Clin Neurol Seoul Korea. 2019;15:9–19. Article Google Scholar Fox MP, Murray EJ, Lesko CR, Sealy-Jefferson S. On the need to revitalize descriptive epidemiology. Am J Epidemiol....
Since the turn of the decade, people worldwide have searched the internet using the term "machine learning." The Y-axis in Fig. 10 displays the precise measurement numbering of Google Trends' searched queries from 2012 to 2023, which illustrates the term's level of popularity [95]. Such st...
and conducting long-term follow-ups to evaluate the results predicted by the model. While the results of these studies cannot be communicated to clinicians and participants, they provide a more reliable estimate of model performance. The excellent results obtained in these studies demonstrate the high...
The term “synchronous” had different meanings between different groups. In the past group, it meant that the interval of obtaining CSF and blood serum samples was within 24 h. In the recent and control groups, it meant that both CSF and blood serum samples were collected at the same time...
empowered by its connection to atomic energy — began laboring under this association following the nuclear calamities at Chernobyl and Three Mile Island. Molecular imaging is now the preferred moniker, as opinion leaders in this specialty seek a linkage between this term and “personalized medicine....
We found that the term “validation” is used variably, with some authors using the term appropriately for testing of the final model but others using it for the tuning of a model during development. It is crucial that the validation test set contains data independent to training or tuning ...
A nonspecific term for a localised softening of brain tissue, which is most commonly due to haemorrhage or infarction, but may also be due to primary or metastatic cancer, parasites, abscesses, and so on. Vox populiA non-medical term referring to a person who is perceived as having lost ...
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