患者面部是否影响全科医生对癌症的怀疑？社会人口学信息自动加工测试

数据集获取（Figshare）

• 源站标题：Do patients’ faces influence General Practitioners’ cancer suspicions? A test of automatic processing of sociodemographic information
• DOI：10.1371/journal.pone.0188222
• 发布日期：2017-11-22
• 文件数：4 个
• 文件总体积：1.91 MB
• 源站页面：https://plos.figshare.com/articles/dataset/Do_patients_faces_influence_General_Practitioners_cancer_suspicions_A_test_of_automatic_processing_of_sociodemographic_information/5626843

命令行下载

curl -L -o "S1 Fig.tiff" "https://ndownloader.figshare.com/files/9800362"
curl -L -o "S1 Dataset.xlsx" "https://ndownloader.figshare.com/files/9800365"
curl -L -o "S1 Table.docx" "https://ndownloader.figshare.com/files/9800368"
curl -L -o "S2 Table.docx" "https://ndownloader.figshare.com/files/9800374"

文件清单

• S1 Fig.tiff（1.85 MB）
• S1 Dataset.xlsx（19.75 KB）
• S1 Table.docx（16.10 KB）
• S2 Table.docx（16.38 KB）

文件总体积 1.91 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

Background
Delayed cancer diagnosis leads to poorer patient outcomes. During short consultations, General Practitioners (GPs) make quick decisions about likelihood of cancer. Patients’ facial cues are processed rapidly and may influence diagnosis.
Aim
To investigate whether patients’ facial characteristics influence immediate perception of cancer risk by GPs.
Design and setting
Web-based binary forced choice experiment with GPs from Northeast Scotland.
Method
GPs were presented with a series of pairs of face prototypes and asked to quickly select the patient more likely to have cancer. Faces were modified with respect to age, gender, and ethnicity. Choices were analysed using Chi-squared goodness-of-fit statistics with Bonferroni corrections.
Results
Eighty-two GPs participated. GPs were significantly more likely to suspect cancer in older patients. Gender influenced GP cancer suspicion, but this was modified by age: the male face was chosen as more likely to have cancer than the female face for young (72% of GPs;95% CI 61.0–87.0) and middle-aged faces (65.9%; 95% CI 54.7–75.5); but 63.4% (95% CI 52.2–73.3) decided the older female was more likely to have cancer than the older male (p = 0.015). GPs were significantly more likely to suspect cancer in the young Caucasian male (65.9% (95% CI 54.7, 75.5)) compared to the young Asian male (p = 0.004).
Conclusion
GPs’ first impressions about cancer risk are influenced by patient age, gender, and ethnicity. Tackling GP cognitive biases could be a promising way of reducing cancer diagnostic delays, particularly for younger patients.

许可

CC BY 4.0

引用

学术使用请引用 DOI 10.1371/journal.pone.0188222（source: https://plos.figshare.com/articles/dataset/Do_patients_faces_influence_General_Practitioners_cancer_suspicions_A_test_of_automatic_processing_of_sociodemographic_information/5626843）。