Artificial Intelligence (AI) to predict future diabetes cases with 94% accuracy

Tokyo: Researchers have revealed that with the help of artificial intelligence (AI) their trained computer model predicted the future incidence of diabetes with an overall accuracy of 94.9 per cent. Artificial intelligence (AI) is the development of computer systems able to perform tasks that normally require human intelligence.

Diabetes is linked to increased risks of severe health problems, including heart disease and cancer. Preventing diabetes is essential to reduce the risk of illness and death.

“Currently, we do not have sufficient methods for predicting which generally healthy individuals will develop diabetes,” said study lead author Akihiro Nomura from Kanazawa University in Japan.

“Using machine learning, it could be possible to precisely identify high-risk groups of future diabetes patients better than using existing risk scores,” Nomura added.

For the findings, the researchers investigated the use of a type of artificial intelligence called machine learning in diagnosing diabetes. Machine learning is a type of AI that enables computers to learn without being explicitly programmed.

The research team analysed 509,153 nationwide annual health checkup records from 139,225 participants from 2008 to 2018 in the city of Kanazawa in Japan. (IANS)

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