Social Media Analytics using machine learning algorithms to understand the mental health status as a result of COVID-19 lockdown

July 2020

COVID-19 has caused significant disruptions to normal life resulting in deteriorated physical and mental health. Medical professionals are struggling to handle the levels of mental trauma. Using sophisticated AI algorithms, this USQ project attempts to classify the mental health state of a person from numerical and textual data and fMRI (functional Magnetic Resonance Image) images of the brain. Numerical and textual data is collected through a simple survey. The primary goal of this research is to develop a model that aids the medical practitioners to analyse heterogeneous data from a wider population through a single affordable test to classify a patient’s mental state including Obsessive Compulsive Disorder (OCD), anxiety, stress, depression, bipolar disorders and phobia pertaining to the context of COVID-19.

Queensland science capability directory

The Queensland science capability directory provides information on the State’s key research capabilities.

Artists in Residence Science Program

The Artist in Residence Science program supports creative collaborative residencies between professional artists and creative practitioners with scientists and the diverse science networks, researchers, data and infrastructure.

Tenders for the 2019 Artist in Residence Science Mural Project are now closed.

About the exhibition

The 2012–2018 Art meets Science Exhibitions provided an opportunity for artists from across South East Queensland to join the artists participating in the Artist in Residence Science program in showcasing their recent artworks that demonstrate a strong art-science connection. Find out more about the artists and artworks featured in these exhibitions in the 2015-2018 Art meets Science exhibition catalogues.