OEHR: An Orthopedic Electronic Health Record Dataset

DOI码：

10.1145/3626772.3657885

所属单位：

School of Informatics, Xiamen University,

发表刊物：

SIGIR 2024

关键字：

"Benchmark Dataset";"Electronic Health Record";"Orthopedic"

摘要：

During the past decades, healthcare institutions continually amassed clinical data that is not intended to support research. Despite the increasing number of publicly available electronic health record (EHR) datasets, it is difficult to find publicly available datasets in Orthopedics that can be used to compare and evaluate downstream tasks. This paper presents OEHR, a healthcare benchmark dataset in Orthopedics, sourced from the EHR of real hospitals. Information available includes patient measurements, diagnoses, treatments, clinical notes, and medical images. OEHR is intended to support clinical research. To evaluate the quality of OEHR, we conduct extensive experiments by implementing state-of-the-art methods for performing downstream tasks. The results show that OEHR serves as a valuable extension to existing publicly available EHR datasets. The dataset is available at http://47.94.174.82/.

第一作者：

Yibo Xie

通讯作者：

Xiaoli Wang

合写作者：

Kaifan Huang,Jiawei Zheng,Feiyan Liu,Guofeng Huang

论文类型：

Original Research

学科门类：

医疗人工智能 / 计算机科学 / 多模态 / 视觉语言模型

文献类型：

Conference Paper

是否译文：

否

发表时间：

2024-07-11