Machine learning could be capable of predicting future onset of diabetes - Mental Daily

In many patients with diabetes, early signs leading to diagnosis include abnormal levels of glucose, increased urinary excretion, and higher food consumption. While those symptoms may be able to determine likelihood of diabetes diagnosis, machine learning could be the most capable way of accurately predicting future onset of diabetes, a new study has found. As published in the Journal of the Endocrine Society, a research team utilized a form of artificial intelligence known as machine learning, which comprises of computerized algorithms learning and adapting to new patterns when exposed to fresh data. For the study, over 500,000 medical records from more than 130,000 patients were analyzed by the research team, 65,505 of which were regarded as having no prior history of diabetes. The records, dated 2008 through 2018, were based in a populated region of Japan.