Diabetes mellitus prediction and diagnosis from a data preprocessing and machine learning perspective

Diabetes mellitus prediction and diagnosis from a data preprocessing and machine learning perspective

Background and Objective: Diabetes mellitus is a metabolic disorder characterized by hyperglycemia, which results from the inadequacy of the body to secrete and respond to insulin. If not properly managed or diagnosed on time, diabetes can pose a risk to vital body organs such as the eyes, kidneys,...

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Bibliographic Details
Main Authors:	Olisah, C.C (Author), Smith, L. (Author), Smith, M. (Author)
Format:	Article
Language:	English
Published:	Elsevier Ireland Ltd 2022
Subjects:	Blood vessels Classification (of information) Computer aided diagnosis Data preprocessing Decision trees Deep neural networks Diabetes mellitus Feature extraction Features selection Forecasting Hyperglycaemia Machine learning Machine learning models Metabolic disorders Missing value imputation Performance Polynomial regression Spearman correlation Support vector machines
Online Access:	View Fulltext in Publisher

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