1 citations · 2 across the 2 of their papers we have counts for
2 papers
cs.CL2024★ 1 cited
Evaluating Large Language Models for Anxiety and Depression Classification using Counseling and Psychotherapy Transcripts
Junwei Sun, Siqi Ma, Yiran Fan +1
We aim to evaluate the efficacy of traditional machine learning and large language models (LLMs) in classifying anxiety and depression from long conversational transcripts. We fine…
cs.LG2024★ 1 cited
Evaluating Fair Feature Selection in Machine Learning for Healthcare
Md Rahat Shahriar Zawad, Peter Washington
With the universal adoption of machine learning in healthcare, the potential for the automation of societal biases to further exacerbate health disparities poses a significant risk…