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,...

Full description

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

Internet

View Fulltext in Publisher

Similar Items