In cases where patients were incapacitated at the time of triage due to acute illness, consent was sought after their stabilization. SEDSS collects data via patient interviews and medical record reviews at enrollment and convalescence (∼7–14 days later). The case investigation form (CIF) ...
Machine learning is an advanced form of pattern recognition that enables machines to make judgments by analyzing large amounts of data. Our research was the first to utilize data from the National Health and Nutrition Survey (NHANES) and machine learning techniques, utilizing nationally representative...
An explainable machine learning framework for cataracts recognition that consists of visual feature extraction, feature importance explanation and selection, and recognition is developed. Specifically, the SHAP and PCC methods are applied to analyze the importance of visual features in selecting useful visua...
The SHAP values conveyed the directionality and importance of BMI, functional status, ACPA serostatus, Patient Global Assessment, and age for abatacept retention. Findings are consistent with previous observations and help validate the machine learning approach for predictive modelling in RA treatment, ...
Immunotherapy and radiotherapy play crucial roles in the transformation therapy of locally advanced pancreatic cancer; however, the exploration of effective predictive biomarkers has been unsatisfactory. With the rapid development of radiomics, next-generation sequencing, and machine learning, there is hope ...
The AI algorithms can only be used clinically if a user interface is provided in the form of a calculator that incorporates the formulas. Recent developments in large language models (LLMs) have enabled data analysis and software development without coding [9]. ChatGPT-4, an advanced multimodal...
The cross-population composite likelihood ratio (xpclr) was calculated for sites in the 10-kb window with a 1-kb step size of each chromosome by using xpclr software [40]. Fourth, based on LD, the inter-population XP-EHH analysis was performed using Shapit software to construct genome ...
In the collection stage, CoT prompts guide the LLM to automatically gather various reasoning chains that form the foundation of the repair knowledge. In the repair stage, sample selection is performed for few-shot learning, with interactive feedback from the LLM. This approach significantly improves...
[33]. In some cases, logistic regression models can be simpler and more effective. First, its simple form makes it easy to understand and interpret. Second, it can efficiently converge and provide stable results even with smaller datasets. The resulting regression coefficients indicate how strongly...
Smart classrooms embody the concept of ambient intelligence. Therefore, the terms “smart classrooms” and “ambient intelligent classrooms” may be considered synonyms. These technologies are required for the realization of smart classrooms. They form the necessary infrastructure for the inclusion of ...