Paper: Cancer Stage Prediction Based on Patient Online Discourse

ACL ID W10-1908
Title Cancer Stage Prediction Based on Patient Online Discourse
Venue Workshop on Biomedical Natural Language Processing
Session
Year 2010
Authors

Forums and mailing lists dedicated to par- ticular diseases are increasingly popular online. Automatically inferring the health status of a patient can be useful for both forum users and health researchers who study patients’ online behaviors. In this paper, we focus on breast cancer forums and present a method to predict the stage of patients’ cancers from their online dis- course. We show that what the patients talk about (content-based features) and whom they interact with (social network- based features) provide complementary cues to predicting cancer stage and can be leveraged for better prediction. Our meth- ods are extendable and can be applied to other tasks of acquiring contextual infor- mation about online health forum partici- pants.