MedNLP-WS 2013 - Workshop on Natural Language Processing for Medical and Healthcare Fields

In medical and healthcare fields, there are a lot of unstructured and text data of valuable information, such as patient status and medication. Recently, more and more medical and healthcare texts in an electronic format have become available. For example, on one hand, many medical records are now written in an electronic format in place of paper format. On the other hand, a large number of people who are suffering from disease have been describing and discussing their health conditions with supporters on the Internet. This trend leads to high demand of providing an information processing technique in these fields. Extracting knowledge from these medical and healthcare text can bring advantages to medical and clinical research, drug development, and our daily healthcare.
In this workshop, by focusing on the analyses of text data from medical and healthcare fields, this workshop collectively discusses the following issues related to these fields:
What kind of information is written in medical health records and what type of knowledge do medical professionals utilize when keeping these records
How we can extract valuable information and knowledge from medical and healthcare text
What we can do with extracted information and knowledge from medical and healthcare text