远程医疗用于神经外科筛查的安全性、有效性和可重复性评估

该数据集包含232例神经外科急诊病例,主要评估远程医疗(智能手机)在筛查创伤性脑损伤患者中的安全性、有效性和可重复性,数据为CT评估和病情严重度识别结果。

Figshare
2019-08-01 更新
浏览 35
表格NeurosurgerySmartphones/trendsTelemedicineNeurosurgery/methodsSciences Health
Evaluation of safety, effectiveness and reproducibility of telemedicine for neurosurgical screening

基本信息

模态
表格
大小
0.000959183 GB
许可
CC BY 4.0
创建/更新时间
2019-08-01
版本
v1

资源简介

远程医疗用于神经外科筛查的安全性、有效性和可重复性评估

【数据集背景】

本数据集源站标题为《Evaluation of safety, effectiveness and reproducibility of telemedicine for neurosurgical screening》。配套论文《Evaluation of safety, effectiveness and reproducibility of telemedicine for neurosurgical screening》发表于 Einstein (São Paulo)(2019),DOI:10.31744/einstein_journal/2019ao4609。源站首次发布:2019-08-28。

【数据内容】

源站原始描述:ABSTRACT Objective: To ascertain the safety, effectiveness and reproducibility of screening potential neurosurgical patients by means of smartphones. Methods: This is a retrospective and multicentric study. Data were collected from the medical records of patients subjected to real emergency neurosurgical evaluations and compared with assessments by neurosurgeons using smartphones to determine the feasibility of identifying changes in cranial computed tomography scans, potentially serious conditi…

【数据结构与技术规格】

文件数 7 个,合计 959.18 KB。数据集 DOI:10.6084/m9.figshare.9739337.v1。

【主题与分类】

源站学科分类:Medicine。主题标签:Neurosurgery、Smartphones/trends、Telemedicine、Neurosurgery/methods、Sciences Health。

【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://scielo.figshare.com/articles/dataset/Evaluation_of_safety_effectiveness_and_reproducibility_of_telemedicine_for_neurosurgical_screening/9739337

使用许可:CC BY 4.0(https://creativecommons.org/licenses/by/4.0/)。

规范引用:Esteves, Luiz Adriano; Ribeiro, André Tosta; Silva, Elton Gomes da; Amato, Marcelo Campos Moraes; Rodrigues, Leandro Bôa-Hora; Tedeschi, Helder; et al. (2019). Evaluation of safety, effectiveness and reproducibility of telemedicine for neurosurgical screening. SciELO journals. Dataset

【使用注意】

· 源站最后修改于 2023-06-04,引用时请注意版本时效。

官方服务

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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。

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)

命令行下载

curl -L -o "2317-6385-eins-17-04-eAO4609-gf01.jpg" "https://ndownloader.figshare.com/files/17443220"
curl -L -o "2317-6385-eins-17-04-eAO4609-gf02.jpg" "https://ndownloader.figshare.com/files/17443223"
curl -L -o "2317-6385-eins-17-04-eAO4609-gf03.jpg" "https://ndownloader.figshare.com/files/17443229"
curl -L -o "Table_1.xls" "https://ndownloader.figshare.com/files/17443238"
curl -L -o "Table_2.xls" "https://ndownloader.figshare.com/files/17443247"
curl -L -o "Table_3.xls" "https://ndownloader.figshare.com/files/17443256"
curl -L -o "Table_4.xls" "https://ndownloader.figshare.com/files/17443262"

文件清单

  • 2317-6385-eins-17-04-eAO4609-gf01.jpg(375.01 KB)
  • 2317-6385-eins-17-04-eAO4609-gf02.jpg(349.17 KB)
  • 2317-6385-eins-17-04-eAO4609-gf03.jpg(212.47 KB)
  • Table_1.xls(5.63 KB)
  • Table_2.xls(5.63 KB)
  • Table_3.xls(5.63 KB)
  • Table_4.xls(5.63 KB)

文件总体积 959.18 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

ABSTRACT Objective: To ascertain the safety, effectiveness and reproducibility of screening potential neurosurgical patients by means of smartphones. Methods: This is a retrospective and multicentric study. Data were collected from the medical records of patients subjected to real emergency neurosurgical evaluations and compared with assessments by neurosurgeons using smartphones to determine the feasibility of identifying changes in cranial computed tomography scans, potentially serious conditions of patients, and the need for transfer to reference centers. Results: We analyzed 232 cases. The main diagnosis was traumatic brain injury, with 119 cases (51.3%). Of this, 105 (45.3%) patients were discharged immediately after the assessment. The telemedicine evaluators presented 95.69% accuracy in the identification of changes in computed tomography scans, with 0.858 concordance. Accuracy in the identification of severity was 95.26%, with 0.858 concordance. As for procedure, the concordance among evaluators was 0.672, increasing to 100% in cases that required surgical treatment. Conclusion: Our study indicated that the use of telemedicine for screening patients with acute neurological disorders was safe, effective and reproducible. Implementation of the method shows a promising potential to improve the patient’'s outcome by reducing unnecessary transfers and decreasing the time elapsed until a specialist can be consulted.

许可

CC BY 4.0

引用

学术使用请引用 DOI 10.6084/m9.figshare.9739337.v1(source: https://scielo.figshare.com/articles/dataset/Evaluation_of_safety_effectiveness_and_reproducibility_of_telemedicine_for_neurosurgical_screening/9739337)。

数据缺失?

依托陕西、四川两大基地,我们与超过十家三甲医院建立直接合作关系,覆盖合规授权、采集治理、专业标注、数据交付的全流程,为AI医疗团队提供即拿即用的高质量临床数据。

⚡️ 需要数据支持或标注服务?立即联系我们获取专业方案。

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