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The machine data challenge cancer researchers face

Byron Connolly | July 15, 2016
Machine learning is infiltrating many industries.

Several hospitals in the United States are also using big data analytics to unlock the secrets of paediatric cancer.

Vidayasagar said ideally, machine learning teams should work with medical doctors but these collaborations are very few.

“The clinician community is a little bit unfamiliar with mathematical methods and if you use some machine learning algorithms to [produce results], they are not necessarily willing to try some of those ideas,” he said.

“The risk factor is [higher] for them because they are the ones in the firing line. It’s a long process from the time we publish what we think is a conclusive study to the time when it might make an actual impact on the clinical practice.

“It may never make it due to reasons beyond our control … we have to be philosophical about it,” he said.



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