三十个抽样决策支持技术：样本特征及基于重复评估的调整后完整IPDASi (v3)和SF评分，附95%置信区间

数据集获取（Figshare）

• 源站标题：Thirty sampled decision support technologies: sample characteristics and adjusted full IPDASi (v3) ^* and SF scores based on duplicate assessment, with 95% confidence limits.
• DOI：10.1371/journal.pone.0004705.t001
• 发布日期：2013-02-21
• 文件数：1 个
• 文件总体积：13.82 KB
• 源站页面：https://plos.figshare.com/articles/dataset/_Thirty_sampled_decision_support_technologies_sample_characteristics_and_adjusted_full_IPDASi_v3_and_SF_scores_based_on_duplicate_assessment_with_95_confidence_limits_/576976

命令行下载

curl -L -o "Table_1.xls" "https://ndownloader.figshare.com/files/906546"

文件清单

• Table_1.xls（13.82 KB）

文件总体积 13.82 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

*Adjusted scores: scores from the two raters were adjusted to take account of their personal propensity to give higher or lower scores. Components of variation were modelled by Bayesian modelling (Markov chain Monte Carlo) using WinBugs software, leading to estimated confidence intervals.
Abbreviations: (APCC: Australian Prostate Cancer Collaboration; Barratt, UoS: University of Sydney; Crouch, Baylor: Baylor College of Medicine; Col, CORE: Center for Outcomes Research and Evaluation; Elwyn, CU: Cardiff University; FIMDM: Foundation for Informed Medical Decision Making; Lawrence, STVHCS: South Texas Veterans Health Care System; Leighl, UoT: University of Toronto; MCC: Michigan Cancer Consortium Prostate Cancer Action Committee; MIDIRS: Midwife Information and Resource Service; NERI: New England Research Institutes; OHDeC: Ottawa Health Decision Centre; Shorten, ACM: Australian College of Midwives; Taylor, GU: Georgetown University; US CDC: Centers for Disease Control and Prevention; Wakefield MU, Macquarie University).

许可

CC BY 4.0

引用

学术使用请引用 DOI 10.1371/journal.pone.0004705.t001（source: https://plos.figshare.com/articles/dataset/_Thirty_sampled_decision_support_technologies_sample_characteristics_and_adjusted_full_IPDASi_v3_and_SF_scores_based_on_duplicate_assessment_with_95_confidence_limits_/576976）。