Zehao Yu, Cheng Peng, Xi Yang, Chong Dang, Prakash Adekkanattu, Braja Gopal Patra, Yifan Peng, Jyotishman Pathak, Debbie L Wilson, Ching-Yuan Chang, Wei-Hsuan Lo-Ciganic, Thomas J George, William R Hogan, Yi Guo, Jiang Bian, Yonghui Wu
OBJECTIVE: To develop a natural language processing (NLP) package to extract social determinants of health (SDoH) from clinical narratives, examine the bias among race and gender groups, test the generalizability of extracting SDoH for different disease groups, and examine population-level extraction ratio. METHODS: We developed SDoH corpora using clinical notes identified at the University of Florida (UF) Health. We systematically compared 7 transformer-based large language models (LLMs) and developed an open-source package - SODA (i...
April 13, 2024: Journal of Biomedical Informatics