INSPIRE, a publicly available research dataset for perioperative medicine

We present the INSPIRE dataset, a publicly available research dataset in
perioperative medicine, which includes approximately 130,000 cases (50% of all
surgical cases) who underwent anesthesia for surgery at an academic
institution in South Korea between 2011 and 2020. This comprehensive dataset
includes patient characteristics such as age, sex, American Society of
Anesthesiologists physical status classification, diagnosis, surgical
procedure code, department, and type of anesthesia. It also includes vital
signs in the operating theatre, general wards, and intensive care units
(ICUs), laboratory results from six months before admission to six months
after discharge, and medication during hospitalization. Complications include
total hospital and ICU length of stay and in-hospital death. We hope this
dataset will inspire collaborative research and development in perioperative
medicine and serve as a reproducible external validation dataset to improve
surgical outcomes.

搜集汇总

背景与挑战

背景概述

INSPIRE是一个公开的围手术期医学研究数据集，包含2011年至2020年间在韩国一家学术机构接受麻醉手术的约130,000个病例，涵盖了患者特征、生命体征、实验室结果、用药和并发症等综合数据。该数据集旨在促进围手术期医学的协作研究和机器学习模型开发，并作为外部验证资源以提高手术结果预测的准确性。