upload hub_repos/n2c2_2008/README.md to hub from bigbio repo

README.md

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+
+---
+language: 
+- en
+license: other
+license_bigbio_shortname: DUA
+pretty_name: n2c2 2008 Obesity
+---
+
+
+# Dataset Card for n2c2 2008 Obesity
+
+## Dataset Description
+
+- **Homepage:** https://portal.dbmi.hms.harvard.edu/projects/n2c2-nlp/
+- **Pubmed:** True
+- **Public:** False
+- **Tasks:** Text Classification
+
+
+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}
+}
+
+```