Name: IDENTI~1.DOC-54930
Creator: figshare

基本信息

模态

表格

大小

0.000064611 GB

创建/更新时间

2020-09-25

资源简介

本数据集来源于一项回顾性研究，利用储存的血液培养分离株，对比FilmArray聚合酶链式反应（PCR）仪、MicroScan 40 Plus检测仪与分析产形指数（API）在血流感染鉴定中的灵敏度、准确度、周转时间和成本。数据模态为表格，记录各诊断技术的测试结果与性能指标。

原始链接

https://figshare.com/articles/dataset/IDENTI_1_DOC/12948533

访问原始数据

官方服务

专家保障全链路合规授权与标注交付

陕川双基地 × 超十家三甲医院直连

从合规授权、采集治理、专业标注到数据集交付，我们提供全链路闭环服务，让高质量临床数据即拿即用。

⚡️ 需要原始数据或标注支持？联系我们获取定制方案。

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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。

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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：IDENTI~1.DOC
DOI：10.6084/m9.figshare.12948533.v4
发布日期：2020-09-25
文件数：6 个
文件总体积：64.61 KB
源站页面：https://figshare.com/articles/dataset/IDENTI_1_DOC/12948533

命令行下载

curl -L -o "Identification of Selected Primary Bloodstream Infection Pathogens in Patients Attending Kisii Level Five and Homa Bay County Hospitals- FA.xlsx" "https://ndownloader.figshare.com/files/24756134"
curl -L -o "Identification of Selected Primary Bloodstream Infection Pathogens in Patients Attending Kisii Level Five and Homa Bay County Hospitals-MS.xlsx" "https://ndownloader.figshare.com/files/24756137"
curl -L -o "Identification of Selected Primary Bloodstream Infection Pathogens in Patients Attending Kisii Level Five and Homa Bay County Hospitals-Api.xlsx" "https://ndownloader.figshare.com/files/24756140"
curl -L -o "Identification of Selected Primary Bloodstream Infection Pathogens in Patients Attending Kisii Level Five and Homa Bay County Hospitals-FA raw data.xlsx" "https://ndownloader.figshare.com/files/24782873"
curl -L -o "Identification of Selected Primary Bloodstream Infection Pathogens in Patients Attending Kisii Level Five and Homa Bay County Hospitals-MS raw data.xlsx" "https://ndownloader.figshare.com/files/24782876"
curl -L -o "Identification of Selected Primary Bloodstream Infection Pathogens in Patients Attending Kisii Level Five and Homa Bay County Hospitals-Api raw data.xlsx" "https://ndownloader.figshare.com/files/24782879"

文件清单

Identification of Selected Primary Bloodstream Infection Pathogens in Patients Attending Kisii Level Five and Homa Bay County Hospitals- FA.xlsx（11.62 KB）
Identification of Selected Primary Bloodstream Infection Pathogens in Patients Attending Kisii Level Five and Homa Bay County Hospitals-MS.xlsx（11.64 KB）
Identification of Selected Primary Bloodstream Infection Pathogens in Patients Attending Kisii Level Five and Homa Bay County Hospitals-Api.xlsx（11.68 KB）
Identification of Selected Primary Bloodstream Infection Pathogens in Patients Attending Kisii Level Five and Homa Bay County Hospitals-FA raw data.xlsx（11.30 KB）
Identification of Selected Primary Bloodstream Infection Pathogens in Patients Attending Kisii Level Five and Homa Bay County Hospitals-MS raw data.xlsx（9.18 KB）
Identification of Selected Primary Bloodstream Infection Pathogens in Patients Attending Kisii Level Five and Homa Bay County Hospitals-Api raw data.xlsx（9.18 KB）

文件总体积 64.61 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

this is a retrospective study using stored blood culture isolates to compare the diagnostic techniques in identification of bloodstream infection; the techniques under analysis are FilmArray polymerase chain reaction machine and MicroScan 40 plus machine compared with Analytical profile index which is routinely used in developing countries as a gold standard for identification of blood culture.In this study we are trying to establish which technique is suitable for diagnosis of bloodstream infection in terms of senstivity, accuracy, turn around time and cost