脊髓性肌萎缩症治疗属性偏好排序与加权

美国护理人员对脊髓性肌萎缩症治疗属性偏好的调查数据,采用摆动加权法量化特征重要性。

Figshare
2024-10-21 更新
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表格swing weighting studyskeletal muscle weaknesssit without supportsevere adverse eventshelp promote patientattribute levels elicitedreduced clinical burdenhealth care professionalsinforming treatment choicesimportant treatment characteristicshypothetical treatment scenariosdifferent treatment characteristics
Attribute ranking and weighting.

基本信息

模态
表格
大小
0.000005632 GB
许可
CC BY 4.0
创建/更新时间
2024-10-21
版本
v1

资源简介

脊髓性肌萎缩症治疗属性偏好排序与加权

【数据集背景】

本数据集源站标题为《Attribute ranking and weighting.》。源站首次发布:2024-10-21。

【数据内容】

源站原始描述:Spinal muscular atrophy (SMA) is a genetic neuromuscular disorder characterized by skeletal muscle weakness and atrophy. Patients with SMA types 1 and 2 develop severe disabilities conferring substantial patient and caregiver burden. Caregiver treatment characteristic preferences are useful for informing treatment choices and improving adherence. We aimed to identify drivers of SMA treatment preference from the perspective of caregivers of patients with SMA types 1 or 2 in the United States. We…

【数据结构与技术规格】

文件数 1 个,合计 5.63 KB。Table 5.xls:application/vnd.ms-excel,5.63 KB。数据集 DOI:10.1371/journal.pone.0309666.t005。

【主题与分类】

源站学科分类:Medicine、Biotechnology、Ecology、Cancer、Science Policy。主题标签:swing weighting study、skeletal muscle weakness、sit without support、severe adverse events、help promote patient、attribute levels elicited、reduced clinical burden、health care professionals、informing treatment choices、important treatment characteristics。

【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/Attribute_ranking_and_weighting_/27271421

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

规范引用:Patel, Anish; Toro, Walter; Bourke, Siobhan; Oluboyede, Yemi; Barbier, Sylvaine; Bogoeva, Nataliya; et al. (2024). Attribute ranking and weighting.. PLOS ONE. Dataset

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。

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 "Table 5.xls" "https://ndownloader.figshare.com/files/49905113"

文件清单

  • Table 5.xls(5.63 KB)

文件总体积 5.63 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

Spinal muscular atrophy (SMA) is a genetic neuromuscular disorder characterized by skeletal muscle weakness and atrophy. Patients with SMA types 1 and 2 develop severe disabilities conferring substantial patient and caregiver burden. Caregiver treatment characteristic preferences are useful for informing treatment choices and improving adherence. We aimed to identify drivers of SMA treatment preference from the perspective of caregivers of patients with SMA types 1 or 2 in the United States. We quantified the relative importance of different treatment characteristics and compared preferences for hypothetical treatment scenarios. Treatment attributes and attribute levels elicited were based on a literature search and interviews with caregivers and health care professionals. The most important treatment characteristics from the perspective of health care professionals and caregivers were identified and used in a survey to quantify relative importance for caregivers. Caregivers completed surveys regarding their preferences using swing weighting methodology. These results were used to estimate the relative value of four hypothetical SMA treatment scenarios exploring different modes of treatment administration. The swing weighting survey, completed by 20 caregivers, demonstrated that the attributes driving treatment preference were reduction in permanent ventilation needs and risk of severe adverse events, followed by treatment access (including cost coverage and availability), increased ability to sit without support, and less treatment administration burden. The hypothetical SMA treatment scenarios with the highest relative value offered an easier mode of administration, lowest risk of severe adverse events, less need of permanent ventilation, and highest ability of patients to feed and sit without support. Our findings suggest that caregivers prefer a treatment with reduced clinical burden and risk in which the cost is covered and treatment is available in the short term. These results can provide important contextual information for decision-makers and help promote patient-centered care for patients with SMA.

许可

CC BY 4.0

引用

学术使用请引用 DOI 10.1371/journal.pone.0309666.t005(source: https://plos.figshare.com/articles/dataset/Attribute_ranking_and_weighting_/27271421)。

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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