A staged approach for a patient decision aid was found to facilitate shared decision-making for adults with atopic dermatitis.

Sahil Dua discusses the critical role of embedding models in powering search and RAG applications at scale. He explains the ...

There's been a seismic shift in science, with scientists developing new AI tools and applying AI to just about any question that can be asked. Researchers are now putting actual seismic waves to work, ...

Popular large language models (LLMs) are unable to provide reliable information about key public services such as health, taxes and benefits, the Open Data Institute (ODI) has found.

Machine learning for health data science, fuelled by proliferation of data and reduced computational costs, has garnered ...

Results: Coherence scores indicated an optimal topic solution of k=40 (coherence=0.58) for English and k=30 (coherence=0.52) for Spanish. Thematically, we observed similar content in both languages, ...

An intelligent text classification system that automatically categorizes workplace alerts using advanced NLP techniques including LDA, K-means, BERT, and a novel hybrid BERT-LDA approach. This project ...

Behavior is at the heart of nearly every challenge in the workplace, from leadership and fair decisions to high performance and AI adoption. But how should organizations go about influencing behavior?

Abstract: Topic modeling is an effective way to gain insight into large amounts of data. Some of the most widely used topic models are Latent Dirichlet allocation (LDA) and Nonnegative Matrix ...

Abstract: This study compares the performance of two topic modeling techniques, Latent Dirichlet Allocation (LDA) and BERTopic, in analyzing short, unstructured traffic complaint texts from Twitter.

Social engagement in environmental issues has significantly increased with the rise of social media, which plays a critical role in shaping public perception of climate change. This study examines the ...