疼痛与吗啡等效日剂量(MEDD)数据

包含900名头颈部癌症患者放疗结束时疼痛严重度与阿片类药物剂量的表格数据,用于AI疼痛预测与决策支持研究。

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DataCite Commons
2024-03-25 更新
浏览 11
表格Acute pain assessment and managementopioid dosemachine learning model (ML model)demographic dataclinical data
Pain and morphine equivalent daily dose (MEDD) data.

基本信息

模态
表格
大小
0.000169396 GB
许可
CC BY 4.0
创建/更新时间
2024-03-25
版本
v1

资源简介

疼痛与吗啡等效日剂量(MEDD)数据

【一句话概览】

本数据集是 figshare 公开的结构化表格数据集,收录 1 个文件、合计 169.40 KB,主题涵盖 Acute pain assessment and management、opioid dose、machine learning model (ML model)、demographic data、clinical data,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】

本数据集源站标题为《Pain and morphine equivalent daily dose (MEDD) data.》。项目资助方:Drs. Moreno and Fuller received project related grant support from the National Institutes of Health (NIH)/ National Institute of Dental and Craniofacial Research (NIDCR) (Grants R21DE031082); Dr. Moreno received salary support from NIDCR (K01DE03052) and the National Cancer Institute (K12CA088084) during the project period. Dr. Fuller receives grant and infrastructure support from MD Anderson Cancer Center via: the Charles and Daneen Stiefel Center for Head and Neck Cancer Oropharyngeal Cancer Research Program; the Program in Image-guided Cancer Therapy; and the NIH/NCI Cancer Center Support Grant (CCSG) Radiation Oncology and Cancer Imaging Program (P30CA016672).Dr. Fuller has received unrelated direct industry grant/in-kind support, honoraria, and travel funding from Elekta AB. Vivian Salama was funded by Dr. Moreno’s fund supported from Paul Calabresi K12CA088084 Scholars Program. Kareem Wahid was supported by an Image Guided Cancer Therapy (IGCT) T32 Training Program Fellowship from T32CA261856".。源站首次发布:2024-03-25。

【数据内容】

源站原始描述:Pain is a challenging multifaceted symptom reported by most cancer patients, resulting in a substantial burden on both patients and healthcare systems. This systematic review aims to explore applications of artificial intelligence/machine learning (AI/ML) in predicting pain-related outcomes and supporting decision-making processes in pain management in cancer. The data shared are the clinical, tumor, therapeutic variables of 900 patients with oral cavity, oropharyngeal or unknown neck cancers, a…

【数据结构与技术规格】

文件数 1 个,合计 169.40 KB。Pain_MEDD_data.xlsx:application/vnd.openxmlformats-officedocument.spreadsheetml.sheet,169.40 KB。数据集 DOI:10.6084/m9.figshare.25114601.v1。

【主题与分类】

源站学科分类:Pain、Cancer therapy (excl. chemotherapy and radiation therapy)。主题标签:Acute pain assessment and management、opioid dose、machine learning model (ML model)、demographic data、clinical data。

【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://figshare.com/articles/dataset/Pain_and_morphine_equivalent_daily_dose_MEDD_data_/25114601

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

规范引用:Salama, Vivian (2024). Pain and morphine equivalent daily dose (MEDD) data.. figshare. Dataset

官方服务

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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)

命令行下载

curl -L -o "Pain_MEDD_data.xlsx" "https://ndownloader.figshare.com/files/44320343"

文件清单

  • Pain_MEDD_data.xlsx(169.40 KB)

文件总体积 169.40 KB(源站 API 实测)。

数据说明

Pain is a challenging multifaceted symptom reported by most cancer patients, resulting in a substantial burden on both patients and healthcare systems. This systematic review aims to explore applications of artificial intelligence/machine learning (AI/ML) in predicting pain-related outcomes and supporting decision-making processes in pain management in cancer.
The data shared are the clinical, tumor, therapeutic variables of 900 patients with oral cavity, oropharyngeal or unknown neck cancers, and pain severity and opioid doses at the end of RT.

许可

CC BY 4.0

引用

学术使用请引用 DOI 10.6084/m9.figshare.25114601.v1(source: https://figshare.com/articles/dataset/Pain_and_morphine_equivalent_daily_dose_MEDD_data_/25114601)。

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。

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