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Transparent machine learning suggests a key driver in the decision to start insulin therapy in individuals with type 2 diabetes.

Nicoletta MusacchioRita ZilichPaola PonzaniGiacomo GuaitaCarlo GiordaRebeca HeidbrederPierluigi SantinGraziano Di Cianni
Published in: Journal of diabetes (2023)
The results reveal, for the first time, the interrelationship between a patient's glycemic trend defined by sequential HbA1c measurements and timely or delayed initiation of insulin therapy. The results further demonstrate that LLM can provide insight in support of evidence-based medicine using real world data.
Keyphrases
  • type diabetes
  • machine learning
  • glycemic control
  • big data
  • case report
  • electronic health record
  • stem cells
  • genome wide
  • gene expression
  • adipose tissue
  • decision making
  • deep learning
  • insulin resistance
  • cell therapy