数据表1：仅凭医疗补助索赔识别儿童虐待和忽视具有高敏感性但低特异性

数据集获取（Figshare）

• 源站标题：Data Sheet 1_Medicaid claims alone have high sensitivity but low specificity in identifying child abuse and neglect.docx
• DOI：10.3389/fped.2025.1698582.s001
• 发布日期：2026-02-02
• 文件数：1 个
• 文件总体积：341.43 KB
• 源站页面：https://frontiersin.figshare.com/articles/dataset/Data_Sheet_1_Medicaid_claims_alone_have_high_sensitivity_but_low_specificity_in_identifying_child_abuse_and_neglect_docx/31225852

命令行下载

curl -L -o "Data Sheet 1_Medicaid claims alone have high sensitivity but low specificity in identifying child abuse and neglect.docx" "https://ndownloader.figshare.com/files/61565422"

文件清单

• Data Sheet 1_Medicaid claims alone have high sensitivity but low specificity in identifying child abuse and neglect.docx（341.43 KB）

文件总体积 341.43 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

ObjectivesDecision support tools, such as predictive risk models (PRMs), may assist medical personnel identify child abuse and neglect (CAN). However, no prior work has established whether Medicaid claims alone are sufficient for accurate prediction. We developed a Medicaid claims-based PRM to predict CAN, validating against medical encounters and clinical diagnoses that precede and follow a CAN-related diagnosis code.
MethodsWe conducted a case–control study of Medicaid-enrolled children born in New York State between 2006 and 2008. Children with a CAN indicator in the first 10 years of life (case) were matched to children without (control) based on sex, race/ethnicity, county, low birthweight (Of the 50,515 children in the matched sample, 13,109 (26%) were Black, 24,298 (48%) were female, 31,917 (63%) resided in New York City, and by design, 13,429 (26.5%) were diagnosed with CAN before age 10. The final PRM achieved an area under the receiver operating curve of 62%, an accuracy of 75%, a sensitivity of 98.5%, and a specificity of 9.5%. Children with a CAN indicator and those with a high probability of CAN had more high-expenditure medical encounters, particularly injury-related ED visits, compared with those without in the year following the index date.
ConclusionsThis claims-based tool demonstrated high sensitivity, identifying nearly all children with a CAN indicator; however, it had very low specificity. Future work should link Medicaid claims to child protective services reports to increase predictive accuracy.

许可

CC BY 4.0

引用

学术使用请引用 DOI 10.3389/fped.2025.1698582.s001（source: https://frontiersin.figshare.com/articles/dataset/Data_Sheet_1_Medicaid_claims_alone_have_high_sensitivity_but_low_specificity_in_identifying_child_abuse_and_neglect_docx/31225852）。