Personal microcomputers are becoming available to millions of individuals. Inevitably this new technology will be applied in a variety of ways to the routine management of diabetes. In this article we present the results of a pilot effort which shows that large cumbersome sets of blood glucose data, obtained by conventional self-monitoring techniques, can be stored, analyzed, and displayed conveniently with a home microcomputer. This technique has potential value for the identification of long-term trends in blood glucose regulation.

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