Big Data and Text-mining Technologies Applied for Breast Cancer Medical Data Analysis (SENOMETRY)

University Hospital, Strasbourg, France

Status: Unknown

Conditions: Breast Cancer

Treatments: Other: retrospective medical records analyze

Study type: Observational

Funder types: Other

Identifiers

NCT02810093

6373

Details and patient eligibility

About

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

Enrollment: 10,000 estimated patients

Sex: Female

Ages: 18+ years old

Volunteers: No Healthy Volunteers

Inclusion criteria

• Majority (age > 18)
• Malignant breast tumors
• signed informed consent

Exclusion criteria

• Benign breast pathology
• Patients not initially treated at the Hôpitaux Universitaires de Strasbourg

Trial design

10,000 participants in 1 patient group

Breast cancer patients between 2000 and 2016

Description:

Patients treated for a breast cancer between 2000 and 2016 in the Hospital of Strasbourg (France).

Treatment:

Other: retrospective medical records analyze