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Unlocking Optimal Glycemic Interpretation: Redefining HbA1c Analysis in Female Patients With Diabetes and Iron-Deficiency Anemia Using Machine Learning Algorithms.

Kadra Mohamed AbdillahiFatma Ceyla Eraldemirİrfan Kösesoy
Published in: Journal of clinical laboratory analysis (2024)
Using ML to analyze HbA1c results in women with IDA may unveil distinctions among patients whose HbA1c values hover near critical medical decision thresholds. This intersection of technology and laboratory science holds promise for enhancing precision in medical decision-making processes.
Keyphrases
  • iron deficiency
  • decision making
  • healthcare
  • machine learning
  • type diabetes
  • public health
  • chronic kidney disease
  • metabolic syndrome
  • weight loss