Dataset Card for n2c2 2008 Obesity

The data for the n2c2 2008 obesity challenge consisted of discharge summaries from the Partners HealthCare Research Patient Data Repository. These data were chosen from the discharge summaries of patients who were overweight or diabetic and had been hospitalized for obesity or diabetes sometime since 12/1/04. De-identification was performed semi-automatically. All private health information was replaced with synthetic identifiers.

The data for the challenge were annotated by two obesity experts from the Massachusetts General Hospital Weight Center. The experts were given a textual task, which asked them to classify each disease (see list of diseases above) as Present, Absent, Questionable, or Unmentioned based on explicitly documented information in the discharge summaries, e.g., the statement “the patient is obese”. The experts were also given an intuitive task, which asked them to classify each disease as Present, Absent, or Questionable by applying their intuition and judgment to information in the discharge summaries.

Citation Information

@article{uzuner2009recognizing,
    author = {
        Uzuner, Ozlem
    },
    title     = {Recognizing Obesity and Comorbidities in Sparse Data},
    journal   = {Journal of the American Medical Informatics Association},
    volume    = {16},
    number    = {4},
    pages     = {561-570},
    year      = {2009},
    month     = {07},
    url       = {https://doi.org/10.1197/jamia.M3115},
    doi       = {10.1197/jamia.M3115},
    eprint    = {https://academic.oup.com/jamia/article-pdf/16/4/561/2302602/16-4-561.pdf}
}