急性腹痛结果预测评分数据集
基于2016年急诊科急性腹痛患者医疗记录的回顾性研究数据集,包含人口统计、生命体征和实验室检查变量,用于预测住院、手术或死亡风险。

基本信息
资源简介
急性腹痛结果预测评分数据集
【一句话概览】
本数据集是 figshare 公开的结构化表格数据集,收录 6 个文件、合计 1.36 MB,主题涵盖 Abdominal Pain. Abdomen、Hospital.,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《Outcomes prediction score for acute abdomen: a proposal.》。源站首次发布:2022-06-02。
【数据内容】
源站原始描述:ABSTRACT Objective: to establish a correlation between objective data collected at the initial evaluation and the outcomes in cases of acute abdominal pain. Methods: we conducted a retrospective, case-control study in which we reviewed medical records of patients treated at an emergency room in 2016, diagnosed with abdominal and pelvic pain. Results: of the 2,352 medical records evaluated, we considered 330 valid for the study. Of these patients, 235 (71.2%) were discharged and the remaining 95…
中文译文(机器翻译,仅供快速理解,请以原文为准):摘要 目的:建立初次评估时收集的客观数据与急性腹痛病例结局之间的相关性。方法:我们开展了一项回顾性病例对照研究,回顾了2016年在急诊室接受治疗、诊断为腹部和盆腔疼痛的患者的病历。结果:在评估的2,352份病历中,我们认为330份有效并纳入研究。在这些患者中,235例(71.2%)出院,其余95例(28.8%)住院、接受手术或死亡。统计分析表明,男性、年龄≥50岁、腋温>37.
【数据结构与技术规格】
文件数 6 个,合计 1.36 MB。数据集 DOI:10.6084/m9.figshare.19961950.v1。
【主题与分类】
源站学科分类:Surgery。主题标签:Abdominal Pain. Abdomen、Hospital.。
【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/Outcomes_prediction_score_for_acute_abdomen_a_proposal_/19961950
使用许可:CC BY 4.0(https://creativecommons.org/licenses/by/4.0/)。
规范引用:Cacciatori, Felipe Antônio; Ronchi, Arthur Dajori; Sasso, Sérgio Emerson (2019). Outcomes prediction score for acute abdomen: a proposal.. 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。
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:Outcomes prediction score for acute abdomen: a proposal.
- DOI:10.6084/m9.figshare.19961950.v1
- 发布日期:2022-06-02
- 文件数:6 个
- 文件总体积:1.36 MB
- 源站页面:https://scielo.figshare.com/articles/dataset/Outcomes_prediction_score_for_acute_abdomen_a_proposal_/19961950
命令行下载
curl -L -o "49739fcd6ff1779ac351e51db73d179924dd07fc.jpg" "https://ndownloader.figshare.com/files/35525608"
curl -L -o "eda497e51e21e062308e6938a682c13fc571f827.jpg" "https://ndownloader.figshare.com/files/35525611"
curl -L -o "8533efbd1eaa16817fdc1ece83b8a0cde27e3fc9.jpg" "https://ndownloader.figshare.com/files/35525614"
curl -L -o "21bc1149ee69263df92b25d81f394f92b3c87a74.jpg" "https://ndownloader.figshare.com/files/35525617"
curl -L -o "70070352f2526fa54dd127a4aedf19915945def7.jpg" "https://ndownloader.figshare.com/files/35525620"
curl -L -o "44b057a7feca65b86745b855567c60b2e80c9285.jpg" "https://ndownloader.figshare.com/files/35525623"
文件清单
49739fcd6ff1779ac351e51db73d179924dd07fc.jpg(232.20 KB)eda497e51e21e062308e6938a682c13fc571f827.jpg(284.15 KB)8533efbd1eaa16817fdc1ece83b8a0cde27e3fc9.jpg(172.11 KB)21bc1149ee69263df92b25d81f394f92b3c87a74.jpg(221.28 KB)70070352f2526fa54dd127a4aedf19915945def7.jpg(281.68 KB)44b057a7feca65b86745b855567c60b2e80c9285.jpg(168.31 KB)
文件总体积 1.36 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
ABSTRACT Objective: to establish a correlation between objective data collected at the initial evaluation and the outcomes in cases of acute abdominal pain. Methods: we conducted a retrospective, case-control study in which we reviewed medical records of patients treated at an emergency room in 2016, diagnosed with abdominal and pelvic pain. Results: of the 2,352 medical records evaluated, we considered 330 valid for the study. Of these patients, 235 (71.2%) were discharged and the remaining 95 (28.8%) were hospitalized, submitted to surgery, or died. The statistical analysis demonstrated that male gender, age ≥50, axillary temperature >37.3ºC, anemia, leukocytosis >10,000/mm3, neutrophil count above 7,700/mm3, lymphocyte count less than 2,000/mm3 and hyperamylasemia were variables in independently associated with worse outcome. Conclusion: the presence of three or more of the evaluated variables greatly increases the chances of a patient suffering the outcomes of surgery or death, the chance of death being greater the greater the number of variables present.
许可
CC BY 4.0
引用
学术使用请引用 DOI 10.6084/m9.figshare.19961950.v1(source: https://scielo.figshare.com/articles/dataset/Outcomes_prediction_score_for_acute_abdomen_a_proposal_/19961950)。
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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