October 11, 2017 | Written by: Anne Nicholson
Categorized: Mental health | Research | Watson
Share this post:
Written by: Anne Nicholson, Brand Strategy Lead IBM A/NZ
The global cost of mental health conditions is projected to surge to US$6.0 trillion by 2030. In Australia its estimated that 45% of people will experience a mental health issue in their life time. Approx. 1 million adults in any given year have depression – over 2 million have anxiety. Worldwide, up to one in 100 people will experience schizophrenia. Up to one person in fifty will develop bipolar disorder. It is fair to say that mental health is one of the greatest challenges facing Australia and New Zealand today.
One of the difficulties facing Doctors and sufferers is accurate diagnosis and identifying those who are at risk. Could computational biology, analytics and machine learning, offer solutions in the future that could quickly and simply analyse language and predict the onset of these diseases? Could the results be earlier intervention, better allocation of resources or better treatment planning?