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Perth Pawsey supercomputer predicts ICU patient outcomes before they worsen

From mapping the stars to predicting weather patterns, Perth's Pawsey supercomputing centre has been used by the brightest minds to solve some of the most complex problems. 

Key points:

  1. 1. An algorithm is being used to track patient data and predict brain bleeds

2. About 40,000 hours of patient data has been used to create the algorithm

3. It could give medical staff up to 20 minutes' notice for patients with traumatic brain injuries  

Now researchers hope a "world first" algorithm that predicts serious brain bleeds before they happen could save lives across Australia.

Royal Perth Hospital head of data science, Shiv Meka, said more than 40,000 hours of patient data had been collected from 200 patients from Royal Perth Hospital, Alfred Hospital, and Royal Melbourne Hospital to develop the algorithm. 

After working on 20 different data models, Mr Meka and his team created one that could predict if a brain bleed was imminent — giving medical staff up to 20 minutes before the bleed to intervene. 

Two men standing in a hospital clinical setting with wires and laptop computers around them

"So you make sense of this data, and then you train the model to predict an event," he said. 

"And based off that, the doctor makes a decision whether this is a high-risk patient and if they have to intervene. Read More…

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