AI in Healthcare September 23, 2021
Researchers have used machine learning to track diabetes at the population level.
While only modestly accurate, their technique may be generic enough to customize for keeping an eye on other widespread health conditions.
The work was conducted in France and is described in a study published Sept. 22 in Archives of Public Health.
Lead author Romana Haneef, PhD, of Santé Publique France, the French national public health agency, and colleagues trained an algorithm on data from more than 44,650 persons with diabetes in a national database.
They identified more than 3,400 variables and used 23 of the most diabetes-specific to refine the training of various algorithms.
The best-performing of these was a linear discriminant analysis model that crunched reimbursement data...
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