OEHR: An Orthopedic Electronic Health Record Dataset

DOI number:

10.1145/3626772.3657885

Affiliation of Author(s):

School of Informatics, Xiamen University,

Journal:

SIGIR 2024

Key Words:

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

Abstract:

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/.

First Author:

Yibo Xie

Correspondence Author:

Xiaoli Wang

Co-author:

Kaifan Huang,Jiawei Zheng,Feiyan Liu,Guofeng Huang

Indexed by:

Original Research

Discipline:

医疗人工智能 / 计算机科学 / 多模态 / 视觉语言模型

Document Type:

Conference Paper

Translation or Not:

no

Date of Publication:

2024-07-11