Metabolomics-based prediction model for diabetes: A comprehensive analysis of biomarkers and machine learning approaches
<h3>Aims</h3><p dir="ltr">To develop a prediction model for diabetes using metabolomics data and to evaluate various machine learning approaches and identify the most effective framework for disease prediction.</p><h3>Methods</h3><p dir="ltr"...
Saved in:
| Main Author: | Doaa Farid (22565300) (author) |
|---|---|
| Other Authors: | Farhana Saleh (22565303) (author), Tareq Mohammed (22565306) (author), Atika Nigar (22565309) (author), Abderrahmane Maaradji (22586726) (author) |
| Published: |
2025
|
| Subjects: | |
| Tags: |
Add Tag
No Tags, Be the first to tag this record!
|
Similar Items
-
Genetic biomarkers and machine learning techniques for predicting diabetes: systematic review
by: Sulaiman Khan (12585349)
Published: (2024) -
Advanced Techniques for Predicting the Future Progression of Type 2 Diabetes
by: Md. Shafiqul Islam (8988548)
Published: (2020) -
Prevalence of newly detected diabetes in pregnancy in Qatar, using universal screening
by: Mohammed Bashir (5593550)
Published: (2018) -
Metabolic signature of obesity-associated insulin resistance and type 2 diabetes
by: Haya Al-Sulaiti (5449256)
Published: (2019) -
Clinical characteristics and outcomes of care in patients hospitalized with diabetic ketoacidosis
by: Mohsen S. Eledrisi (17542464)
Published: (2022)