Big Data and Text-mining Technologies Applied for Breast Cancer Medical Data Analysis (SENOMETRY)
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|ClinicalTrials.gov Identifier: NCT02810093|
Recruitment Status : Unknown
Verified June 2016 by University Hospital, Strasbourg, France.
Recruitment status was: Recruiting
First Posted : June 22, 2016
Last Update Posted : June 22, 2016
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
|Condition or disease||Intervention/treatment|
|Breast Cancer||Other: retrospective medical records analyze|
|Study Type :||Observational|
|Estimated Enrollment :||10000 participants|
|Official Title:||SENOMETRY : Big Data and Text-mining Technologies Applied for Breast Cancer Medical Data Analysis|
|Study Start Date :||May 2016|
|Estimated Primary Completion Date :||November 2016|
|Estimated Study Completion Date :||December 2016|
Breast cancer patients between 2000 and 2016
Patients treated for a breast cancer between 2000 and 2016 in the Hospital of Strasbourg (France).
Other: retrospective medical records analyze
Ten thousand medical records (between years 2000 and 2016) will be analyzed
- Validate the reliability of a computer-based, automatic information retrieval method specific to medical records from breast cancer multidisciplinary meetings [ Time Frame: 6 months ]
- Breast cancer recurrence rate after some therapeutic procedures [ Time Frame: 6 months ]Study of the recurrence rate of different subgroups of patients where various procedures were performed
To learn more about this study, you or your doctor may contact the study research staff using the contact information provided by the sponsor.
Please refer to this study by its ClinicalTrials.gov identifier (NCT number): NCT02810093
|Contact: Anne Laudamy||+33 3 88 11 66 firstname.lastname@example.org|
|Contact: anatta Razafimanantsoa||+ 33 3 88 11 54 email@example.com|
|Principal Investigator:||Carole Mathelin, MD||Strasbourg's University Hospitals|