Abstract
Data in patients’ records includes free-form text, which have valuable medical related information embedded in. This data can be extremely useful in aiding and providing better patient care. Text analysis techniques have demonstrated the potential to unlock such information from text. For example, the I2B2 (the Information for Integrating Biology and the Bedside) designed a smoking challenge that required the automatic classification of patients in relation to smoking status, based on clinical reports. The challenge focused on text analysis as a powerful tool to classify clinical records and detect a patient’s smoking status. Determining smoking status, from the text, is beneficial for further studies and research, such as asthma studies.
| Original language | English |
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| Title of host publication | 2nd Annual meeting of the EPSRC Network on Vision & Language: Workshop on Vision and Language 2012 |
| Publication status | Published - 14 Dec 2012 |
| Event | 2nd Annual meeting of the EPSRC Network on Vision and Language - University of Sheffield, Sheffield, United Kingdom Duration: 13 Dec 2012 → 14 Dec 2012 |
Conference
| Conference | 2nd Annual meeting of the EPSRC Network on Vision and Language |
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| Country/Territory | United Kingdom |
| City | Sheffield |
| Period | 13/12/12 → 14/12/12 |
Research Centres
- Data Science STEM Research Centre
- Data and Complex Systems Research Centre