Models of care are often used in settings that provide medical and case management services. Case managers must be knowledgeable of models of care such as the Home Health Model, the Chronic Care Model, and the Special Needs Plan. In this lesson, we will explore the basics of these models....
As a result of the success in extending life expectancy, there is increasing prevalence in chronic diseases. This has created huge burden on the health care systems around the world. It is predicted that in 2020, chronic disease will contribute to 73% of all deaths and 60% of the global ...
HealthCareDeliveryModel: Childhood Asthma Sara October 22‚ 2005 University of Portland School of Nursing Abstract Childhood asthma affected an estimated 5 million children under the age of 15 during the year of 1995. The diagnosis of this disease is on a continual rise in the United States...
Recent advances in the field of large language models (LLMs) underline their high potential for applications in a variety of sectors. Their use in healthcare, in particular, holds out promising prospects for improving medical practices. As we highlight in this paper, LLMs have demonstrated remar...
of the fMRI voxel the most. Interestingly, these ngrams qualitatively correspond to understandable concepts:questioning, e.g., “are you sure”, often combined withdisbelief/incredulity, e.g. “wow I never”. Figure5d shows two examples of voxels that are better predicted by Aug-Tree than ...
Examples of genes that are involved in the AR pathway include the Erg and Etv1 genes, which are both members of the ETS (erythroblast transformation-specific) family of transcription factors [67]. Conditional gain of expression of Erg results in foci of invasive adenocarcinoma with varying levels...
We can improve this by adding more few-shot examples, etc, but we can also constrain generation to the exact format we want: import re @guidance(stateless=True) def constrained_ner(lm, input): # Split into words words = [x for x in re.split('([^a-zA-Z0-9])', input) if x ...
The adoption of large language models (LLMs) in healthcare demands a careful analysis of their potential to spread false medical knowledge. Because LLMs ingest massive volumes of data from the open Internet during training, they are potentially exposed t
The resources related to the trustworthiness of large models (LMs) across multiple dimensions (e.g., safety, security, and privacy), with a special focus on multi-modal LMs (e.g., vision-language models and diffusion models). This repo is in progress 🌱 (currently manually collected). Ba...
As all biological systems are examples of evolved complex systems, we question the ability of one evolved complex system to predict outcomes for a second. A classic claim regarding the advances in medical care arising from the use of intact sentient animals in research is the discovery and ...