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Diabetes Mellitus: Type 2 and Gestational01:22

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Type 2 diabetes, characterized by insulin resistance, arises when the insulin receptors on cells lose responsiveness to insulin, diminishing the cell's capacity to take up glucose, resulting in elevated blood glucose levels. To receive a diagnosis of Type 2 diabetes, a series of blood glucose tests are necessary to assess whether the blood glucose falls within normal parameters. If the result is out of the normal range, a patient may be diagnosed as prediabetic or diabetic, depending on the...
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Diabetes Mellitus: Overview and Type I Subtype01:22

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Diabetes mellitus is a chronic metabolic disorder characterized by high blood glucose levels due to inadequate insulin production, insulin resistance, or both. The condition affects millions worldwide and can significantly impact their health and quality of life.
Type 1 diabetes is an autoimmune disease in which the immune system mistakenly attacks and destroys the insulin-producing beta cells in the pancreas. As a result, the body is unable to produce sufficient insulin, and individuals with...
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Generative AI for diabetologists: a concise tutorial on dataset analysis.

Yoshiyasu Takefuji1

  • 1Faculty of Data Science, Musashino University, 3-3-3 Ariake Koto-Ku, Tokyo, 135-8181 Japan.

Journal of Diabetes and Metabolic Disorders
|June 27, 2024
PubMed
Summary

Generative AI can predict diabetes group classification with high accuracy. However, NT-proBNP regression analysis using this tool requires more data or new metrics for successful outcomes.

Area of Science:

  • Endocrinology
  • Artificial Intelligence
  • Data Science

Background:

  • Generative Artificial Intelligence (AI) offers potential for analyzing complex medical datasets.
Keywords:
Dataset analysisDiabetologists and endocrinologistsGenerative AIMachine learning

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  • Diabetologists and endocrinologists may benefit from accessible AI tools for data analysis.
  • Lack of programming expertise can be a barrier to adopting AI in clinical practice.