Data Sheet 1：AI模型潜在偏倚来源——ICU脓毒症患者乳酸测量作为模板

数据集获取（Figshare）

• 源站标题：Data Sheet 1_Potential source of bias in AI models: lactate measurement in the ICU in sepsis patients as a template.docx
• DOI：10.3389/fmed.2025.1606254.s001
• 发布日期：2025-07-09
• 文件数：1 个
• 文件总体积：171.68 KB
• 源站页面：https://frontiersin.figshare.com/articles/dataset/Data_Sheet_1_Potential_source_of_bias_in_AI_models_lactate_measurement_in_the_ICU_in_sepsis_patients_as_a_template_docx/29511869

命令行下载

curl -L -o "Data Sheet 1_Potential source of bias in AI models: lactate measurement in the ICU in sepsis patients as a template.docx" "https://ndownloader.figshare.com/files/56080772"

文件清单

• Data Sheet 1_Potential source of bias in AI models: lactate measurement in the ICU in sepsis patients as a template.docx（171.68 KB）

文件总体积 171.68 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

ObjectiveHealth inequities may be driven by demographics such as sex, language proficiency, and race-ethnicity. These disparities may manifest through likelihood of testing, which in turn can bias artificial intelligence models. We aimed to evaluate variation in serum lactate measurements in the intensive care unit (ICU) in sepsis.
MethodsUtilizing MIMIC-IV (2008–2019), we identified adults fulfilling sepsis-3 criteria. Exclusion criteria were ICU stay We studied 15,601 patients (19.5% racial-ethnic minority, 42.4% female, and 10.0% limited English proficiency). After adjusting for confounders, Black patients had a slightly higher likelihood of receiving a lactate measurement on day 1 [odds ratio 1.19, 95% confidence interval (CI) 1.06–1.34], but not the other minority groups. Subsequent frequency was similar across race-ethnicities, but women had a lower incidence rate ratio (IRR) 0.94 (95% CI 0.90–0.98). Patients with elective admission and private insurance also had a higher frequency of repeated serum lactate measurements (IRR 1.70, 95% CI 1.61–1.81 and 1.07, 95% CI, 1.02–1.12, respectively).
ConclusionWe found no disparities in the likelihood of a lactate measurement among patients with sepsis across demographics, except for a small increase for Black patients, and a reduced frequency for women. Subsequent analyses should account for the variation in biomarker monitoring being present in MIMIC-IV.

许可

CC BY 4.0

引用

学术使用请引用 DOI 10.3389/fmed.2025.1606254.s001（source: https://frontiersin.figshare.com/articles/dataset/Data_Sheet_1_Potential_source_of_bias_in_AI_models_lactate_measurement_in_the_ICU_in_sepsis_patients_as_a_template_docx/29511869）。