Machine learning-based stratification of prediabetes and type 2 diabetes progression

These findings underscore the value of integrating machine learning with molecular and biochemical markers for the accurate classification of diabetes stages, supporting a potential shift toward more personalized diabetes management.

Authors

Institutions

Publication Details

Journal
Diabetology & Metabolic Syndrome
Published
2025-06-18
DOI
https://doi.org/10.1186/s13098-025-01786-6
Citations
8
Primary Topic
Artificial Intelligence in Healthcare
Type
article
Field-Weighted Citation Impact
23.50

Funders

Controls
|||
ALL TIME
JAN
FEB
MAR
APR
MAY
JUN
JUL
AUG
SEP
OCT
article

Machine learning-based stratification of prediabetes and type 2 diabetes progression

Manar Yehia Ahmed, Manar Fouad Ahmed, Radwa Khaled, Marwa Mokbel ElShafei et al.
8 citations
Diabetology & Metabolic Syndrome
Artificial Intelligence in Healthcare
23.50
article

Machine learning-based stratification of prediabetes and type 2 diabetes progression

Manar Yehia Ahmed, Manar Fouad Ahmed, Radwa Khaled, Marwa Mokbel ElShafei, Amani Mohamed Abdel Ghani, Marwa Ramadan M Abdelhalim, Asmaa Mohamed Abd El Gwad, Gena M. Elmakromy, Abdelrahman Khaled, Marwa Matboli
article en
8 citations

Abstract

These findings underscore the value of integrating machine learning with molecular and biochemical markers for the accurate classification of diabetes stages, supporting a potential shift toward more personalized diabetes management.

Diabetology & Metabolic SyndromeVol. 17(1)
Ain Shams University (EG), Cairo University (EG), Badr University in Cairo (EG), Misr International University (EG), Nile University (EG)
Academy of Scientific Research and Technology, Science and Technology Development Fund
Reduced inequalities
Openalex Percentile: Top 1%
Artificial Intelligence in Healthcare
23.50
DOIOpen Access PDFOpenAlex
AI Navigator

Ask Laika to Summarize, Analyze, and Connect papers live on the map.

Summarize Papers & Methodologies

Extract key findings, datasets, and comparative methods across publications.

Benchmark Rankings & Visual Analytics

Rank top research institutions, authors, funders, topics, and journals by Field-Weighted Citation Impact (FWCI) and paper volume with instant charts.

Connect Distant Disciplines

Bridge topological clusters on the map to find hidden collaborative intersections.

Machine learning-based stratification of prediabetes and type 2 diabetes progression — Manar Yehia Ahmed, Manar Fouad Ahmed, et al. · Diabetology & Metabolic Syndrome (2025) | TGRS Research Map | TGRS