NCT02810093Unknown不适用
SENOMETRY : Big Data and Text-mining Technologies Applied for Breast Cancer Medical Data Analysis
University Hospital, Strasbourg, France1 个研究点 分布在 1 个国家目标入组 10,000 人开始时间: 2016年5月最近更新:
适应症
试验速览
- 阶段
- 不适用
- 发起方
- 入组人数
- 10,000
- 试验地点
- 1
- 主要终点
- Validate the reliability of a computer-based, automatic information retrieval method specific to medical records from breast cancer multidisciplinary meetings
研究概览
简要总结
Primary purpose :
To develop a method to automatically extract and structure the information included in numerous medical records from breast cancer patients.
Secondary purpose :
With this procedure we can analyze the content of ten thousand anonymized textual medical records.
This information should enable us to explore many subjects, such as:
- The impact of certain therapeutic procedures
- The characteristics of sub-groups of patients
- Pregnancy associated breast cancers
- Risk factors
研究设计
- 研究类型
- Observational
- 观察模型
- Cohort
- 时间视角
- Retrospective
入排标准
- 年龄范围
- 18 Years 至 —（Adult, Older Adult）
- 性别
- Female
- 接受健康志愿者
- 否
入选标准
- •Majority (age > 18)
- •Malignant breast tumors
- •signed informed consent
排除标准
- •Benign breast pathology
- •Patients not initially treated at the Hôpitaux Universitaires de Strasbourg
结局指标
主要结局
Validate the reliability of a computer-based, automatic information retrieval method specific to medical records from breast cancer multidisciplinary meetings
时间窗: 6 months
次要结局
- Breast cancer recurrence rate after some therapeutic procedures(6 months)
研究者
研究点 (1)
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