Health-LLM: Large Language Models for Health Prediction via Wearable Sensor Data

arXiv:2401.06866v2 Announce Type: replace-cross
Abstract: Large language models (LLMs) are capable of many natural language tasks, yet they are far from perfect. In health applications, grounding and interpreting domain-specific and non-linguistic data is crucial. This paper investigates the capacity of LLMs to make inferences about health based on contextual information (e.g. user demographics, health knowledge) and physiological data (e.g. resting heart rate, sleep minutes). We present a comprehensive evaluation of 12 state-of-the-art LLMs with prompting and fine-tuning techniques on four …

abstract applications arxiv capacity cs.ai cs.cl cs.lg data domain health inferences language language models large language large language models llm llms natural natural language paper prediction sensor tasks type via wearable