MedNgage

MedNgage数据集由匹兹堡大学创建，专注于分析患者与护士之间的对话参与度，特别是癌症症状管理方面。该数据集包含2100条对话，涉及68名患者与护士的交流。数据集通过手动标注，区分了社会情感和认知语言使用两大类别的患者参与度。此数据集旨在帮助AI系统更好地理解患者与医疗从业者之间的自然对话，从而提高患者护理质量。

The MedNgage dataset was developed by the University of Pittsburgh, focusing on analyzing conversational engagement between patients and nurses, specifically in the context of cancer symptom management. This dataset contains 2,100 conversations involving exchanges between 68 patients and nurses. It uses manual annotation to categorize patient engagement into two broad categories: socio-emotional and cognitive language use. This dataset is designed to help AI systems better understand natural dialogues between patients and healthcare practitioners, thereby improving the quality of patient care.

搜集汇总

背景与挑战

背景概述

MedNgage是一个关于癌症症状管理的患者-护士异步对话数据集，包含2.1K轮对话，经过严格脱敏处理，访问需通过伦理审查和正式申请流程。