ESL-Bench: An Event-Driven Synthetic Longitudinal Benchmark for Health Agents

1. 1Generate synthetic user data using ESL-Bench
2. 2Evaluate health agents using the benchmark
3. 3Analyze results to identify areas for improvement
4. 4Refine health agent models and re-evaluate using ESL-Bench

Data scientists and AI engineers on healthcare projects can use ESL-Bench to evaluate and improve their models, while researchers can utilize it to advance the development of health agents

💡 ESL-Bench provides a structured ground truth for evaluating health agents, addressing the challenge of limited real-world data

🚀 ESL-Bench: a synthetic benchmark for longitudinal health agents! 📊