Optimizing diabetes classification with a machine learning-based framework.

ABSTRACT:

Background

Diabetes is a metabolic disorder usually caused by insufficient secretion of insulin from the pancreas or insensitivity of cells to insulin, resulting in long-term elevated blood sugar levels in patients. Patients usually present with frequent urination, thirst, and hunger. If left untreated, it can lead to various complications that can affect essential organs and even endanger life. Therefore, developing an intelligent diagnosis framework for diabetes is necessary.

Result

This paper proposes a machine learning-based diabetes classification framework machine learning optimized GAN. The framework encompasses several methodological approaches to address the diverse challenges encountered during the analysis. These approaches encompass the implementation of the mean

SUBMITTER: Feng X 

PROVIDER: S-EPMC10644638 | biostudies-literature | 2023 Nov

REPOSITORIES: biostudies-literature