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A context aware higher frequency data collection approach to studying chronic pain

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posted on 2018-07-08, 04:33 authored by Tian GohTian Goh
This thesis used advances in online and mobile technology to address the limitations in existing clinical data collection approaches for studying chronic pain. The thesis used a participatory design science research methodology and proposed a novel higher frequency data collection approach. This approach incorporates the patient's context in addition to self reported pain data. The findings have contributed towards a better understanding of chronic pain, which could have an impact on the accuracy of current data collection approaches, and can lead to better treatment for chronic pain.


Campus location


Principal supervisor

Frada Burstein

Additional supervisor 1

Pari Delir Haghighi

Year of Award


Department, School or Centre

Caulfield School of IT


Doctor of Philosophy

Degree Type



Faculty of Information Technology