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

NCT02810093 · Status: UNKNOWN · Type: OBSERVATIONAL · Enrollment: 10000

Last updated 2016-06-22

No results posted yet for this study

Summary

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

Conditions

Interventions

OTHER

retrospective medical records analyze

Ten thousand medical records (between years 2000 and 2016) will be analyzed

Sponsors & Collaborators

  • Quantmetry

    collaborator UNKNOWN

  • University Hospital, Strasbourg, France

    lead OTHER

Principal Investigators

  • Carole Mathelin, MD · Strasbourg's University Hospitals

Eligibility

Min Age
18 Years
Sex
FEMALE
Healthy Volunteers
No

Timeline & Regulatory

Start
2016-05-31
Primary Completion
2016-11-30
Completion
2016-12-31

Countries

  • France

Study Locations

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Entities

Diseases

Read the full study record

This page highlights key information. For complete eligibility criteria, study locations, investigator contacts, and the full protocol, visit the original record on ClinicalTrials.gov.

View NCT02810093 on ClinicalTrials.gov