曼海姆腹膜炎指数预测腹膜炎术后结果数据集

基于75例腹膜炎患者的曼海姆腹膜炎指数(MPI)及临床数据,用于预测术后死亡率。

SciELO journalsSciELO journals
DataCite Commons
2022-09-03 更新
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表格PeritonitisAbdomenAcuteSepsisMortality Registries
Mannheim’s peritonitis index in the prediction of postoperative outcome of peritonitis

基本信息

模态
表格
大小
0.00206088 GB
许可
CC BY 4.0
创建/更新时间
2022-09-03
版本
v1

资源简介

曼海姆腹膜炎指数预测腹膜炎术后结果数据集

【一句话概览】

本数据集是 figshare 公开的结构化表格数据集,收录 42 个文件、合计 2.06 MB,主题涵盖 Peritonitis、Abdomen, Acute、Sepsis、Mortality Registries,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《Mannheim’s peritonitis index in the prediction of postoperative outcome of peritonitis》。配套论文《Mannheim’s peritonitis index in the prediction of postoperative outcome of peritonitis》发表于 Revista do Colégio Brasileiro de Cirurgiões(2022),DOI:10.1590/0100-6991e-20222991_en。源站首次发布:2022-09-03。

【数据内容】

源站原始描述:ABSTRACT Objective: evaluate the effectiveness of MPI to predict mortality in patients with peritonitis in Santa Casa de Misericordia de Vitoria Hospital (HSCMV). Methods: a longitudinal observational cohort retrospectively study, with a sample of 75 patients diagnosed with peritonitis between January 2010 to December 2 of 2015, in HSCMV and with all the necessary criteria for the calculation of IPM. Results: we found a profile of the patients, 33 female and 42 male, mean age 42 years, 11 deaths…

【数据结构与技术规格】

文件数 42 个,合计 2.06 MB。数据集 DOI:10.6084/m9.figshare.20847423.v1。

【主题与分类】

源站学科分类:Surgery。主题标签:Peritonitis、Abdomen, Acute、Sepsis、Mortality Registries。

【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/Mannheim_s_peritonitis_index_in_the_prediction_of_postoperative_outcome_of_peritonitis/20847423

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

规范引用:GUEIROS, LAÍS DOS SANTOS; FONSECA, CLÁUDIO MEDINA DA; DUARTE, NATHALIA MARIA DIAS MORAES; ANTUNES, OLÍVIA SOUZA (2022). Mannheim’s peritonitis index in the prediction of postoperative outcome of peritonitis. SciELO journals. Dataset

【使用注意】

· 源站最后修改于 2023-06-12,引用时请注意版本时效。

官方服务

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⚡️ 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 "e98e394ec0beb10c9defebd43e4f984ca631c437.tif" "https://ndownloader.figshare.com/files/37107048"
curl -L -o "eb96a14dc3d9b95205b546b65157ad1a8b7ed13b.png" "https://ndownloader.figshare.com/files/37107051"
curl -L -o "f5d935e074f68af78551f68ad633f9030e3e1390.jpg" "https://ndownloader.figshare.com/files/37107054"
curl -L -o "4a8492e1b908f71731f1a8cff65816b473c2a5cf.tif" "https://ndownloader.figshare.com/files/37107057"
curl -L -o "b5a623b326b6a1a2b7442c2b743e38e243d4698c.png" "https://ndownloader.figshare.com/files/37107060"
curl -L -o "aa56bc60eba1cf8fe67c1928065b9789c4aa444a.jpg" "https://ndownloader.figshare.com/files/37107063"
curl -L -o "547430cab7cdcecdb120ea9e4a3a0b745353da0a.tif" "https://ndownloader.figshare.com/files/37107066"
curl -L -o "c91b8fb77fae15ffbb4dcd95bf2f72c3010b9785.png" "https://ndownloader.figshare.com/files/37107069"

文件清单

  • e98e394ec0beb10c9defebd43e4f984ca631c437.tif(175.71 KB)
  • eb96a14dc3d9b95205b546b65157ad1a8b7ed13b.png(27.49 KB)
  • f5d935e074f68af78551f68ad633f9030e3e1390.jpg(4.63 KB)
  • 4a8492e1b908f71731f1a8cff65816b473c2a5cf.tif(167.47 KB)
  • b5a623b326b6a1a2b7442c2b743e38e243d4698c.png(11.73 KB)
  • aa56bc60eba1cf8fe67c1928065b9789c4aa444a.jpg(3.94 KB)
  • 547430cab7cdcecdb120ea9e4a3a0b745353da0a.tif(171.22 KB)
  • c91b8fb77fae15ffbb4dcd95bf2f72c3010b9785.png(21.85 KB)
  • 8b20d9d9511b0099fd9104336c3b0de2b2455fdc.jpg(3.80 KB)
  • dff5f5b583af859af964e383d543ba78ea7de7fa.tif(227.95 KB)
  • 117ac0bccb051fcab3897dbc0a54edc2546a69c2.png(26.58 KB)
  • 980ab4fc067768b01b368a59a182aeb2b866bf52.jpg(3.31 KB)
  • 9ca7ff7c02955911b1635d463506a6e3e2fb9b62.tif(172.35 KB)
  • 3f88017feee44488206f854191ba3f08a85a7b8d.png(14.35 KB)
  • eb39c126e89d201a848bfd69dce7362cac26d769.jpg(3.83 KB)
  • 7ddeb7f8bf15a522cbd2e83db594937b1da9e577.tif(170.72 KB)
  • 7903b513dad2ba73407bc713c35a7983335e28cc.png(27.95 KB)
  • a45375d524b6292b0c7341c6ce19587a79ef7780.jpg(4.80 KB)
  • 42a1b51656f9d5c5bfb87b47c8a1da946678f63a.tif(154.64 KB)
  • 5eee706c8306175c60b4f72b8ddd96b12bd2b38a.png(12.27 KB)

文件总体积 2.06 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: evaluate the effectiveness of MPI to predict mortality in patients with peritonitis in Santa Casa de Misericordia de Vitoria Hospital (HSCMV). Methods: a longitudinal observational cohort retrospectively study, with a sample of 75 patients diagnosed with peritonitis between January 2010 to December 2 of 2015, in HSCMV and with all the necessary criteria for the calculation of IPM. Results: we found a profile of the patients, 33 female and 42 male, mean age 42 years, 11 deaths and 14.67% mortality percentage. Comparing the MPI variables into two groups (survivors and deceased) was found that older than 50 years, presence of malignancy and patients with organ dysfunction have statistical significance for mortality, with p<0.05. The MPI ranged between 4-41 points, with average of 21.2 points. However, among the dead, the score ranged from 23 to 41, with a mean of 32.8. Therefore, the cutoff point of 27 points was established by evaluating the best value of Kappa concordance index, and through it were calculated: 90.90% sensitivity and specificity of 78.13% by the ROC curve. Conclusion: based on these results, it was established that the MPI was effective in estimating the risk of death when the index reaches values = 27 points. Categorizing patients into different risk groups helps in determining a better prognosis and defining operative risk, thus contributing to the choice of the surgical procedure nature.

许可

CC BY 4.0

引用

学术使用请引用 DOI 10.6084/m9.figshare.20847423.v1(source: https://scielo.figshare.com/articles/dataset/Mannheim_s_peritonitis_index_in_the_prediction_of_postoperative_outcome_of_peritonitis/20847423)。

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