Investigating text analysis of user-generating contents for health related applications

Abdalhafeth, Deema and Ahmed, Amr and Cobham, David (2012) Investigating text analysis of user-generating contents for health related applications. In: 2nd Annual meeting of the EPSRC Network on Vision & Language: Workshop on Vision and Language 2012, 13-14 Dec 2012, University of Sheffield.

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Item Type:Conference or Workshop contribution (Presentation)
Item Status:Live Archive

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.

Keywords:Text Mining, Health education
Subjects:G Mathematical and Computer Sciences > G710 Speech and Natural Language Processing
Divisions:College of Science > School of Computer Science
ID Code:12792
Deposited On:21 Dec 2013 12:29

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