Translating the A1C Assay Into Estimated Average Glucose Values¶
Nathan, D. M., Kuenen, J., Borg, R., Zheng, H., Schoenfeld, D., & Heine, R. J. (2008). Translating the A1C Assay Into Estimated Average Glucose Values. Diabetes Care, 31(8), 1473-1478.
Cited by¶
1 citation across 1 artifact.
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Primes¶
- Feature Engineering
- The clinical parallel: HbA1c transforms a noisy, moment-to-moment raw signal (blood glucose, which swings with every meal) into a feature — average glycaemic exposure over roughly three months — that exposes the regularity a clinician actually needs (chronic control) and discards the irrelevant minute-to-minute variation.
This sourceEstablishes that HbA1c reflects average glycaemic exposure over roughly the preceding months rather than moment-to-moment glucose, supporting HbA1c as the chronic-control decision feature.
- The clinical parallel: HbA1c transforms a noisy, moment-to-moment raw signal (blood glucose, which swings with every meal) into a feature — average glycaemic exposure over roughly three months — that exposes the regularity a clinician actually needs (chronic control) and discards the irrelevant minute-to-minute variation.
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