Global ETD Search
Search theses and dissertations gathered from participating repositories worldwide. Every result links back to the library that holds it. No account is needed.
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Showing 1 to 6 of 6 for “"Admission variables"”.
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Predictors of Academic Difficulties of Osteopathic Medical Students in the Preclinical Curriculum
… This research examined the relationship of admission characteristics with indicators of academic performance during the first year of an osteopathic medical curriculum. This was done in order to identify factors that might suggest that osteopathic students will experience academic …
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Exploring The Relationship Between Preadmission Factors And Dental School Student Success
<p>This quantitative study assessed the preadmission factor relationship to success at a graduate dental school. Preadmission factors are used nationally to assess student ability. There are concerns about the reliability of these factors in measuring URM student ability. 1,275 records were …
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Relationship of Select Admissions Criteria to Pre-Licensure Requirements in a Graduate Degree Program in Occupational Therapy
… there has been little research regarding the admission process and the admission variables used to select candidates for admission. Healthcare professions such as occupational therapy must reliably select those applicants who can succeed in the academic classroom and in the clinical setting by …
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Características de cães e gatos vítimas de trauma admitidos em hospital escola veterinário da região nordeste do Brasil
… as well as to analyze the usefulness of hospital admission variables such as the “Animal Trauma Screening” (TTA) and “ Modified Glasgow Coma Scale ”(ECGM) scores to predict prognosis. For this purpose, a cross-sectional study was carried out evaluating dogs and cats victims of trauma attended in a …
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From big data to personal narratives: a supervised learning framework for decoding the course of traumatic brain injury in intensive care
… to ordinal endpoints. All of the CENTER-TBI variables are tokenised and embedded into lower-dimensional vectors which are then fed into gated recurrent neural networks (RNNs) to identify time-varying, informative patterns from the full dataset. The RNN outputs are then decoded by an ordinal …