感染性心内膜炎风险评分与手术数据集
包含324例IE患者心脏手术数据,评估八种术后死亡风险评分的预测性能。

基本信息
资源简介
感染性心内膜炎风险评分与手术数据集
【一句话概览】
本数据集是 figshare 公开的结构化表格数据集,收录 2 个文件、合计 109.00 KB,主题涵盖 Heart valve surgery、infective endocarditis、mortality/survival、quality of care improvement、risk factors,可用于统计建模、特征工程与队列分析,CC BY 4.0 许可开放获取。
【数据集背景】
本数据集源站标题为《Risk scores and surgery for infective endocarditis: in search of a good predictive score》。配套论文《Risk scores and surgery for infective endocarditis: in search of a good predictive score》发表于 Scandinavian Cardiovascular Journal(2019),DOI:10.1080/14017431.2019.1610188。源站首次发布:2019-05-13。
【数据内容】
源站原始描述:Objectives: To evaluate scoring systems that have been created to predict the risk of death post-surgery in infective endocarditis (IE). Design: Eight scores – (1) The Society of Thoracic Surgery (STS) risk score for IE, (2) De Feo score, (3) PALSUSE score (prosthetic valve, age ≥70, large intracardiac destruction, Staphylococcus spp, urgent surgery, sex [female], EuroSCORE ≥10), (4) ANCLA score (anemia, New York Heart Association class IV, critical state, large intracardiac destruction, surgery…
【数据结构与技术规格】
文件数 2 个,合计 109.00 KB。Suppl._Fig._S1.TIF:image/tiff,67.83 KB。Suppl._Tables_and_Figure_Legend.doc:application/vnd.openxmlformats-officedocument.wordprocessingml.document,41.17 KB。数据集 DOI:10.6084/m9.figshare.8118245.v1。
【主题与分类】
源站学科分类:Medicine、Biotechnology、Mathematical Sciences not elsewhere classified、Mental Health。主题标签:Heart valve surgery、infective endocarditis、mortality/survival、quality of care improvement、risk factors。
【适用方向】
结构化表格数据可直接用于统计建模、特征工程与队列分析。
【获取与许可】
源站页面:https://tandf.figshare.com/articles/dataset/Risk_scores_and_surgery_for_infective_endocarditis_in_search_of_a_good_predictive_score/8118245
使用许可:CC BY 4.0(https://creativecommons.org/licenses/by/4.0/)。
规范引用:Risk scores and surgery for infective endocarditis: in search of a good predictive score. Taylor & Francis. Gatti, Giuseppe; Sponga, Sandro; Peghin, Maddalena; Givone, Filippo; Ferrara, Veronica; Benussi, Bernardo; et al
【使用注意】
· 源站最后修改于 2023-06-01,引用时请注意版本时效。
下载信息
注册下载
需要注册 Kaggle 账号并登录后下载,适合需要跟踪下载记录和使用 API 的用户。
暂未开放公开下载
无需注册即可直接获取公开样本或文档,适合快速预览和评估数据集质量。
免登录有偿下载
公开数据集受托下载与技术交付服务。
提供高速下载与技术交付服务(收技术服务费,非数据销售)
暂未开放当前数据集主要来源为 Kaggle 公开托管,完整影像包建议通过原始链接或 Kaggle API 获取。
使用方式
数据集获取(Figshare)
- 源站标题:Risk scores and surgery for infective endocarditis: in search of a good predictive score
- DOI:10.6084/m9.figshare.8118245.v1
- 发布日期:2019-05-13
- 文件数:2 个
- 文件总体积:109.00 KB
- 源站页面:https://tandf.figshare.com/articles/dataset/Risk_scores_and_surgery_for_infective_endocarditis_in_search_of_a_good_predictive_score/8118245
命令行下载
curl -L -o "Suppl._Fig._S1.TIF" "https://ndownloader.figshare.com/files/15135578"
curl -L -o "Suppl._Tables_and_Figure_Legend.doc" "https://ndownloader.figshare.com/files/15135581"
文件清单
Suppl._Fig._S1.TIF(67.83 KB)Suppl._Tables_and_Figure_Legend.doc(41.17 KB)
文件总体积 109.00 KB(源站 API 实测)。
数据加载示例(图像类)
from PIL import Image
import glob, os
files = (glob.glob(os.path.join(path, "**", "*.png"), recursive=True)
+ glob.glob(os.path.join(path, "**", "*.jpg"), recursive=True)
+ glob.glob(os.path.join(path, "**", "*.tif"), recursive=True))
print("图像文件数:", len(files))
img = Image.open(files[0]); print("尺寸/模式:", img.size, img.mode)
# torchvision Dataset 方式:
# from torchvision import datasets
# ds = datasets.ImageFolder(path) # 要求 子目录=类别
目录组织与标注格式以源站说明和下载后实际文件为准。
数据说明
Objectives: To evaluate scoring systems that have been created to predict the risk of death post-surgery in infective endocarditis (IE).
Design: Eight scores – (1) The Society of Thoracic Surgery (STS) risk score for IE, (2) De Feo score, (3) PALSUSE score (prosthetic valve, age ≥70, large intracardiac destruction, Staphylococcus spp, urgent surgery, sex [female], EuroSCORE ≥10), (4) ANCLA score (anemia, New York Heart Association class IV, critical state, large intracardiac destruction, surgery of thoracic aorta), (5) Risk-Endocarditis Score (RISK-E), (6) score for heart valve or prosthesis IE (EndoSCORE), and (7,8) Association pour l’‘Étude et la Prévention de l’'Endocadite Infectieuse (AEPEI) score I and II – were evaluated in 324 (mean age, 61.8 ± 14.6 years) consecutive patients having IE and undergoing cardiac operation (1999–2018, Regione Autonoma Friuli-Venezia Giulia, Italy).
Results: There were 45 (13.9%) in-hospital deaths. Despite many differences on the number and the type of variables, all the investigated scores showed good goodness-of-fit (Hosmer-Lemeshow test, p ≥.28). For five scores, accuracy of prediction (receiver-operating characteristic curve analysis) was good (ANCLA score) or fair (STS risk score for IE, PALSUSE score, AEPEI score I and II). When compared one-to-one (Hanley-McNeil method), accuracy of prediction of ANCLA score was higher than all of other risk scores except for AEPEI score I (p = .077).
Conclusions: Five of eight scores that were evaluated in this study showed satisfactory performance in predicting in-hospital mortality following surgery for IE. The ANCLA score should be preferred.
许可
CC BY 4.0
引用
学术使用请引用 DOI 10.6084/m9.figshare.8118245.v1(source: https://tandf.figshare.com/articles/dataset/Risk_scores_and_surgery_for_infective_endocarditis_in_search_of_a_good_predictive_score/8118245)。
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