I am working on the topic "Utility Enhancement for Textual Document redaction and Sanitization". I have noted in the literature of de-identification of the medical document that Privacy models perform unnecessary sanitization by sanitizing the negated assertions, (“AIDS negative”). I want to exclude the negated assertions before sanitizing the medical document, which will improve the utility of document. I want to know which dataset will be appropriate for my work. I tried to use the 2010 i2b2 dataset but I could not find the metadata of that dataset. The 2014 i2b2 de-identification Challenge Task 1 consists of 1304 medical records with respect to 296 patients, of which 790 records (178 patients) are used for training, and the remaining 514 records (118 patients) for testing. The medical records are a fully annotated gold standard set of clinical narratives. The PHI categories are grouped into seven main categories with 25 associated sub-categories. Distributions of PHI categories in the training and test corpora are known as in the test corpora 764 age, 4980 dates, hospitals 875, etc. I want to know the same above information for 2010 i2b2 dataset that I could not find yet.
Thank you.
Dibakar Pal from here we can download the dataset which i have already did but i need information and description about the dataset.
if you would access to another de-identified healthcare data, the NHS data are made available for research through eDRIS in in Scotland.
http://www.isdscotland.org/Products-and-Services/EDRIS/
@ Aysha Khan, Dibakar Pal
I also couldn't found meta data for the i2b2 2010 dataset.
It seems we have to infer from the dataset.
In the figure 1 they have shown an excerpt of a patient record:
https://www.ncbi.nlm.nih.gov/pmc/articles/PMC3168320/
I also have two questions:
1. In the first line for the concept "bilateral hand numbness" in Figure 1, it mentions these 3 words have been taken from line number 25.
It seems that a line represents a sentence.
But is the assumption correct?
2. In the section Data, they have mentioned 394 training reports.
But in the downloaded dataset, I noticed only 170 training reports.
https://academic.oup.com/jamia/article/17/2/124/2909101 helped me !
Can I request to send me he link to get the dataset for i2b2. thank you.
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