| Abstract |
121 million people around the world suffer from some form of depression. Apart from suicide, depression always goes along with physical diseases as well, making the sufferers losing smiles on their faces. As psychotherapists are working on interpersonal treatments to help these people, there is a role that semantic technologies could take to improve medications. While traditional depression diagnosis is largely based on rating scales, where observational errors often occur; smart healthcare provides reliable data measured with wearable sensors. Derived from this methodology, a smart ward has been built in Beijing, applying cross-disciplinary technologies to help people to win smiles back. My PhD project is aimed at addressing partly the smart ward’s technologies: personalisation and contextualisation of psychotherapists’ information seeking. By integrating the seeking process with patient’s electronic record, my system is expected to illustrate to users decision-support information with higher relevance and higher speed. The project is being drafted, and I’ll introduce it on the WAI talk. |