已审查研究概述
一个关于过程挖掘在心脏手术护理流程中应用的研究综述数据集,包含已审查研究的概述和分析结果。

基本信息
资源简介
已审查研究概述
【数据集背景】
本数据集源站标题为《Overview of reviewed researches.》。源站首次发布:2023-02-23。
【数据内容】
源站原始描述:Recently, The Egyptian health sector whether it is public or private; utilizes emerging technologies such as data mining, business intelligence, Internet of Things (IoT), among many others to enhance the service and to deal with increasing costs and growing pressures. However, process mining has not yet been used in the Egyptian organizations, whereas the process mining can enable the domain experts in many fields to achieve a realistic view of the problems that are currently happening in the un…
【数据结构与技术规格】
文件数 1 个,合计 9.73 KB。Table 1.xls:application/vnd.ms-excel,9.73 KB。数据集 DOI:10.1371/journal.pone.0281836.t001。
【主题与分类】
源站学科分类:Biophysics、Biological Sciences not elsewhere classified、Information Systems not elsewhere classified、Marine Biology、Infectious Diseases。主题标签:xlink "> recently、utilizes emerging technologies、three main perspectives、proposed methodology starts、patients &# 8217、certain patient groups、cardiac surgery unit、paper presents application、obtain meaningful insights、process mining techniques。
【适用方向】
文本类数据可用于医学自然语言处理,如命名实体识别、信息抽取与文本分类。
【获取与许可】
源站页面:https://plos.figshare.com/articles/dataset/Overview_of_reviewed_researches_/22150179
使用许可:CC BY 4.0(https://creativecommons.org/licenses/by/4.0/)。
规范引用:Rashed, Abdel-Hamed Mohamed; El-Attar, Noha E.; Abdelminaam, Diaa Salama; Abdelfatah, Mohamed (2023). Overview of reviewed researches.. PLOS ONE. Dataset
【使用注意】
· 源站最后修改于 2026-08-27,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:<p>Overview of reviewed researches.</p>
- DOI:10.1371/journal.pone.0281836.t001
- 发布日期:2023-02-23
- 文件数:1 个
- 文件总体积:9.73 KB
- 源站页面:https://plos.figshare.com/articles/dataset/Overview_of_reviewed_researches_/22150179
命令行下载
curl -L -o "Table 1.xls" "https://ndownloader.figshare.com/files/39377028"
文件清单
Table 1.xls(9.73 KB)
文件总体积 9.73 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
Recently, The Egyptian health sector whether it is public or private; utilizes emerging technologies such as data mining, business intelligence, Internet of Things (IoT), among many others to enhance the service and to deal with increasing costs and growing pressures. However, process mining has not yet been used in the Egyptian organizations, whereas the process mining can enable the domain experts in many fields to achieve a realistic view of the problems that are currently happening in the undertaken field, and thus solve it. This paper presents application of the process mining techniques in the healthcare field to obtain meaningful insights about its careflows, e.g., to discover typical paths followed by certain patient groups. Also, to analyze careflows that have a high degree of dynamic and complexity. The proposed methodology starts by the preprocess step on the event logs to eliminate outliers and clean the event log. And then apply a set of the popular discovery miner algorithms to discover the process model. Then careflows processes are analyzed from three main perspectives: the control-flow perspective, the performance perspective and, the organizational perspective. That contributes with many insights for the domain experts to improve the existing careflows. Through evaluating the simplicity metric of extracted models; the paper suggested a method to quantify the simplicity metric. The paper used a dataset from a cardiac surgery unit in an Egyptian hospital. The results of the applied process mining techniques provide the hospital managers a real analysis and insights to make the patient journey easier.
许可
CC BY 4.0
引用
学术使用请引用 DOI 10.1371/journal.pone.0281836.t001(source: https://plos.figshare.com/articles/dataset/Overview_of_reviewed_researches_/22150179)。
数据缺失?
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