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Study uses AI to analyze risk factors in type 1 diabetes

March 6, 2019

“What’s unique about this study is that we’ve included machine learning analyses — that is, algorithms for AI — to assess strength of association for cardiovascular risk factors”, says Aidin Rawshani, PhD, of Sahlgrenska Academy, University of Gothenburg. Dr Rawshani is the corresponding author of a new article in the journal Circulation.

The study is based on register data concerning 32,611 people with type 1 diabetes for whom the mean duration of the disease had been 18 years. Follow-up time averaged just over 10 years. Alongside traditional statistical analysis, AI was used: Autonomous learning enabled the computer software to improve its ability to predict death and cardiovascular events.

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