宫颈癌（风险因素）数据集
该数据集包含858名患者的临床表格数据，涵盖个人信息、生活习惯和医疗历史等多维度变量，主要用于分析宫颈癌风险因素、构建疾病预测模型以及开展公共卫生研究，为医学统计和临床决策提供结构化数据支持。
基本信息
资源简介
宫颈癌（风险因素）数据集
【数据集背景】
本数据集源站标题为《datasets/cervical-cancer》。源站首次发布：2018-01-03。
【数据内容】
源站原始描述：Cervical cancer occurrences This is dataset about cervical cancer occurrences. Cervical cancer is one the most frequent cancer diseases that occur to women. This dataset is showing some factors that might influence cervical cancer. ## Data This dataset was found on UCI under the name Cervical cancer (Risk Factors) Data Set The dataset was collected at ''Hospital Universitario de Caracas'' in Caracas, Venezuela. The dataset comprises demographic information, habits, and historic medical records of…
【获取与许可】
源站页面：https://github.com/datasets/cervical-cancer
【使用注意】
· 源站最后修改于 2025-02-03，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
git clone https://github.com/datasets/cervical-cancer.git
curl -L -o repo.zip https://github.com/datasets/cervical-cancer/archive/refs/heads/main.zip
unzip repo.zip
源站 README 摘录（使用方式）
This is dataset about cervical cancer occurrences. Cervical cancer is
one the most frequent cancer diseases that occur to women. This dataset
is showing some factors that might influence cervical cancer.
Data
This dataset was found on UCI under the name Cervical cancer (Risk Factors) Data Set
The dataset was collected at ‘‘Hospital Universitario de Caracas’’ in Caracas, Venezuela.
The dataset comprises demographic information, habits, and historic medical records of
858 patients. Several patients decided not to answer some of the questions because of
privacy concerns (missing values).
- 835 instances
- 36 attributes
- Missing values: yes
Output data is located in directory calleddata
data/cervical-cancer.csv
Attributes are the same as they were in input data.
Preparation
To get our output data several things are done to input data:
- missing values marked with “?” are replaced with “”(empty space)
Python scripts are located in directoryscripts
scripts/main.py
License
Licensed under the Public Domain Dedication and License (assuming
either no rights or public domain license in source data).
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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