Optimization of cataract surgery follow-up: A standard set of questions can predict unexpected management changes at postoperative week one
基于254例白内障手术患者的标准化问题回答,研究能否预测术后第一周意外管理变化以优化随访。

基本信息
资源简介
Optimization of cataract surgery follow-up: A standard set of questions can predict unexpected management changes at postoperative week one
【一句话概览】
本数据集是 figshare 公开的结构化表格数据集,收录 4 个文件、合计 30.09 MB,主题涵盖 POW 1. Results、perioperative patient information、cataract cases、postoperative week、POW 1 visit,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】
配套论文《Optimization of cataract surgery follow-up: A standard set of questions can predict unexpected management changes at postoperative week one》发表于 PLOS ONE(2019),DOI:10.1371/journal.pone.0221243。源站首次发布:2019-09-19。
【数据内容】
源站原始描述:Purpose There is limited evidence to inform the optimal follow-up schedule after cataract surgery. This study aims to determine whether a standardized question set can predict unexpected management changes (UMCs) at the postoperative week one (POW1) timepoint. Setting Massachusetts Eye and Ear, Harvard Medical School. Design Prospective cohort study. Methods Two-hundred-and-fifty-four consecutive phacoemulsification cases having attended an examination between postoperative days 5–14. A set of 7…
【数据结构与技术规格】
文件数 4 个,合计 30.09 MB。pone.0221243.s003.docx:application/vnd.openxmlformats-officedocument.wordprocessingml.document,14.74 KB。数据集 DOI:10.1371/journal.pone.0221243。
【主题与分类】
源站学科分类:Medicine、Cell Biology、Molecular Biology、Biotechnology、Developmental Biology、Cancer。主题标签:POW 1. Results、perioperative patient information、cataract cases、postoperative week、POW 1 visit、cataract surgery、eye care providers、Harvard Medical School、UMC、management changes。
【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://plos.figshare.com/articles/dataset/Optimization_of_cataract_surgery_follow-up_A_standard_set_of_questions_can_predict_unexpected_management_changes_at_postoperative_week_one/9881567
使用许可:CC BY 4.0(https://creativecommons.org/licenses/by/4.0/)。
规范引用:Moustafa, Giannis A.; Borkar, Durga S.; Borboli-Gerogiannis, Sheila; Greenstein, Scott H.; Lorch, Alice C.; Vasan, Ryan A.; et al. (2019). Optimization of cataract surgery follow-up: A standard set of questions can predict unexpected management changes at postoperative week one. PLOS ONE. Dataset
【使用注意】
· 源站最后修改于 2023-05-31,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:Optimization of cataract surgery follow-up: A standard set of questions can predict unexpected management changes at postoperative week one
- DOI:10.1371/journal.pone.0221243
- 发布日期:2019-09-19
- 文件数:4 个
- 文件总体积:30.09 MB
- 源站页面:https://plos.figshare.com/articles/dataset/Optimization_of_cataract_surgery_follow-up_A_standard_set_of_questions_can_predict_unexpected_management_changes_at_postoperative_week_one/9881567
命令行下载
curl -L -o "pone.0221243.s001.png" "https://ndownloader.figshare.com/files/17729843"
curl -L -o "pone.0221243.s002.tiff" "https://ndownloader.figshare.com/files/17729846"
curl -L -o "pone.0221243.s003.docx" "https://ndownloader.figshare.com/files/17729852"
curl -L -o "pone.0221243.s004.docx" "https://ndownloader.figshare.com/files/17729855"
文件清单
pone.0221243.s001.png(11.32 MB)pone.0221243.s002.tiff(18.73 MB)pone.0221243.s003.docx(14.74 KB)pone.0221243.s004.docx(24.43 KB)
文件总体积 30.09 MB(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
Purpose
There is limited evidence to inform the optimal follow-up schedule after cataract surgery. This study aims to determine whether a standardized question set can predict unexpected management changes (UMCs) at the postoperative week one (POW1) timepoint.
Setting
Massachusetts Eye and Ear, Harvard Medical School.
Design
Prospective cohort study.
Methods
Two-hundred-and-fifty-four consecutive phacoemulsification cases having attended an examination between postoperative days 5–14. A set of 7 ‘Yes’ or ‘No’ questions were administered to all participants by a technician at the POW1 visit. Patient answers along with perioperative patient information were recorded and analyzed. Outcomes were the incidence of UMCs at POW1.
Results
The incidence of UMCs was zero in uneventful cataract cases with unremarkable history and normal postoperative day one exam if no positive answers were given with the question set demonstrating 100% sensitivity (pConclusion
In routine cataract cases with no positive answers to the current set of clinical questions, a POW1 visit is unlikely to result in a management change. This result offers the opportunity for eye care providers to risk-stratify patients who have had cataract surgery and individualize follow-up.
许可
CC BY 4.0
引用
学术使用请引用 DOI 10.1371/journal.pone.0221243(source: https://plos.figshare.com/articles/dataset/Optimization_of_cataract_surgery_follow-up_A_standard_set_of_questions_can_predict_unexpected_management_changes_at_postoperative_week_one/9881567)。
数据缺失?
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