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The final item of section three asked participants to select any of the six provided reasons that might negatively affect an LGB or transgender patients' attendance at healthcare services. Section four assessed familiarity with LGBT-related terminology using a table of 30 words [12]. We added ...
2. make off with belongings of others. 3. consider apart from a particular case or instance. E.g.: Let's abstract away from this particular example 4. give an abstract (of). adj 1. existing only in the mind; separated from embodiment. E.g.: abstract words like `truth' and `jus...
Key words were selected to capture mul- tiple chief complaints containing that word. For instance "breath" captures "shortness of breath", "trouble breath- ing", "I can't breathe", "can't catch breath", "breathing problems", etc. Common abbreviations were also included as key words. The...
Hierarchiesclassify medical codes across multiple levels. The International Classification of Diseases system is a prime example, starting with 21 broad categories of diagnoses and branching into progressively more specific sets of diagnoses. Graphsrepresent relationships among biological entities, such as gen...
In other words, it is a major concern in big data analysis to consider the decrease in model performance caused by the curse of dimensionality compared to the actual benefit of increasing data. In general, the overfitting of the model due to too many variables causes the problem of ...
There is also a real need for training mid-career physicians in leadership, management, and finance and undertaking management projects mentored by senior leadership. Nonclinical scientists starting to lead and manageresearch laboratoriesshould also be provided with leadership and management training. Train...
In other words, no common causes can be omitted from the DAG. Finally, the DAG approach does not reduce or eliminate other sources of bias (e.g. measurement bias). Finally, at the end of the manuscript, we have provided a glossary of terms used so that readers unfamiliar with DAG ...
While we encourage readers to methodically search for the optimal choice of model and TL setup, it is a good starting point to employ deep CNN models (preferably ResNet or Inception) as feature extractors. We recommend updating only the last fully connected layers of the chosen model on the ...
andmedical complexity.Because we used a needs-based definition of medical complexity, we included key words known to be associated with this population (e.g. complex, medically fragile), as well as terms describing medical technologies commonly used within this group (e.g. gastrostomy, tracheostomy...