Social Determinant

Social determinants of health (SDOH) encompass the environmental and societal factors influencing health outcomes, and research focuses on accurately identifying and incorporating these factors into healthcare models and decision-making. Current studies leverage large language models (LLMs) and machine learning (ML) algorithms, including transformer-based architectures and gradient boosting machines, to extract SDOH information from unstructured clinical notes and other data sources, aiming to improve prediction accuracy and address algorithmic bias. This research is significant because it promises to improve healthcare equity by identifying and mitigating disparities in health outcomes linked to SDOH, leading to more effective interventions and personalized care.