Objective: This study aimed to develop and evaluate Clinical Care Classification nursing terminology with retrieval-augmented mapping (CNTRAM), a 2-stage RAG framework incorporating an LLM, for the ...

FLAML is a lightweight Python library for efficient automation of machine learning and AI operations. It automates workflow based on large language models, machine learning models, etc. and optimizes ...

Vocabulary standards (such as authority files and thesauri) and classification systems can assist in both cataloguing and retrieval of museum collections. They may be used to: help a cataloguer find ...

Update July 2024: isolateR is now published in Bioinformatics! isolateR aims to enhance microbial isolation workflows and support the identification of novel taxa. It addresses the challenges of ...

Accurate assessment of midpalatal suture (MPS) maturation is critical in orthodontics, particularly for planning treatment strategies in patients with maxillary transverse deficiency (MTD). Although ...

Background: Most existing automated sleep staging methods rely on multimodal data, and scoring a specific epoch requires not only the current epoch but also a sequence of consecutive epochs that ...

Volcano-seismic event classification represents a fundamental component of volcanic monitoring. Recent advances in techniques for the automatic classification of volcano-seismic events using ...

Abstract: Oral cancer is a major global health issue accounting for 177,384 deaths in 2018 and it is most prevalent in low- and middle-income countries. Enabling automation in the identification of ...