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n2c2: National NLP Clinical Challenges (n2c2)
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Sample details

The n2c2 (formerly known as i2b2) system is a scalable computational framework for managing human health data. The dataset consists of all electronic records (psychiatric and non-psychiatric) from 127,504 patients using the i2b2 Workbench software, which have a billing diagnosis of major depressive disorder, drawn from out-patient psychiatry practices affiliated with multiple, large hospitals in New England, United States of America.

Study design
Registry

Number of participants at first data collection

127,504 (participants)

Age at first data collection

Varied (participants)

Participant year of birth

Varied (participants)

Participant sex
All

Representative sample at baseline?
No

Sample features

People with psychiatric conditions
Dataset details

Country

United States of America

Year of first data collection

2006

Primary Institutions

Massachusetts General Hospital (MGH)

Links

n2c2.dbmi.hms.harvard.edu/

ncbi.nlm.nih.gov/pmc/articles/PMC2655844/

Profile paper DOI
Not available

Funders

National Library of Medicine

National Institute of Mental Health (NIMH)

Ongoing?
Yes

Data types collected

mentalHealthData
dataLinkage
Quantitative data collection
  • Secondary data
Qualitative data collection
  • None
Neuroimaging data collection
  • None
Linked or secondary data
  • Census data
  • Healthcare data
Features

Engagement

  • Community engagement
  • Keywords

    Bioinformatics
    Biomarkers
    Electronic health records
    Machine learning
    Psychiatric medication
    Psychiatry
    Remission
    Treatment experiences and outcomes
    Treatment resistant depression (TRD)
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