This repository contains the EHR-R1-1.7B model, part of the EHR-R1 series, as presented in the paper EHR-R1: A Reasoning-Enhanced Foundational Language Model for Electronic Health Record Analysis. EHR-R1 is a family of reasoning-enhanced Large Language Models (LLMs) specifically tailored for Electronic Health Record (EHR) analysis. It is developed based on EHR-Ins, a large-scale, comprehensive EHR reasoning instruction dataset, and is trained through a multi-stage paradigm including domain adaptation, reasoning enhancement, and reinforcement learning. This approach systematically acquires domain knowledge and diverse reasoning capabilities, enabling accurate and robust EHR analysis. The project also introduces EHR-Bench, a new benchmark curated from MIMIC-IV for comprehensive assessment across 42 distinct EHR tasks. Paper: https://huggingface.co/papers/2510.25628 GitHub Repository: https://github.com/MAGIC-AI4Med/EHR-R1 We open-source a large-scale instruction dataset EHR-Ins, including 3.5M non-reasoning data and 300k reasoning data. We open-source a comprehensive benchmark EHR-Bench, which covers 42 distinct EHR analysis tasks. We open-source EHR reasoning-enhanced LLMs…
Модальности:
Генерация текста
Области применения:
Логика и рассуждение Диалог / чат Медицина
Задача: Генерация текста
Автор: BlueZeros
Теги: qwen3, medical, healthcare, ehr, reasoning, qwen, conversational, en
Лайков: 3 | Загрузок: 39
Описание основано на материалах HuggingFace. Перевод выполнен автоматически.
