Hajijama S, Juneja D, Nasa P. Large Language Model in Critical Care Medicine: Opportunities and Challenges. Indian J Crit Care Med 2024;28(6):523-525.
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http://dx.doi.org/10.5005/jp-journals-10071-24743 | DOI Listing |
Stat Methods Med Res
January 2025
CITMAga and Department of Statistics and Operations Research, Universidade de Vigo, Vigo, Galicia, Spain.
The study of the predictive ability of a marker is mainly based on the accuracy measures provided by the so-called confusion matrix. Besides, the area under the receiver operating characteristic curve has become a popular index for summarizing the overall accuracy of a marker. However, the nature of the relationship between the marker and the outcome, and the role that potential confounders play in this relationship could be fundamental in order to extrapolate the observed results.
View Article and Find Full Text PDFEur Heart J Digit Health
January 2025
Department of Medicine, Université de Montréal, 5000 Bélanger Street, Montreal, Québec H3T 1J4, Canada.
Eur Heart J Digit Health
January 2025
Cardiovascular Center, Tufts Medical Center, 800 Washington Street, Boston, MA 02111, USA.
Aims: This study evaluates the performance of OpenAI's latest large language model (LLM), Chat Generative Pre-trained Transformer-4o, on the Adult Clinical Cardiology Self-Assessment Program (ACCSAP).
Methods And Results: Chat Generative Pre-trained Transformer-4o was tested on 639 ACCSAP questions, excluding 45 questions containing video clips, resulting in 594 questions for analysis. The questions included a mix of text-based and static image-based [electrocardiogram (ECG), angiogram, computed tomography (CT) scan, and echocardiogram] formats.
R Soc Open Sci
January 2025
School of Physics, The University of Sydney, Sydney, Australia.
Clustering short text is a difficult problem, owing to the low word co-occurrence between short text documents. This work shows that large language models (LLMs) can overcome the limitations of traditional clustering approaches by generating embeddings that capture the semantic nuances of short text. In this study, clusters are found in the embedding space using Gaussian mixture modelling.
View Article and Find Full Text PDFMonte Carlo Methods Appl
December 2024
Computer Languages and Systems Software Group, Lawrence Berkeley National Laboratory, Berkeley, California, USA.
Correlation coefficients and linear regression values computed from group averages can differ from correlation coefficients and linear regression values computed using individual scores. This observation known as the ecological fallacy often assumes that all the individual scores are available from a population. In many situations, one must use a sample from the larger population.
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